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class="articleHeader__title">电子商务用户评论的情感分类模型基于改进粒子群优化算法和支持向量机</h1> <div class="articleHeader__authors"> <span class="articleHeader__authors_author"><strong>Xuehui江</年代trong><a href="//www.newsama.com/cdn-cgi/l/email-protection" aria-label="Mail Option"><span role="img" class="anticon"> <svg version="1.0" xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" viewbox="0 0 1401 1101"> <path fill="#6ba439" d="M132.5 2.1C101.4 6 71.1 20.5 48.3 42.4c-22.7 21.7-37.5 48.3-44.6 80l-2.2 10.1v837l2.2 10.1c6.7 30 19.3 53.9 39.8 75.3 23.3 24.3 56.4 40.9 90 45 12.8 1.6 1122.2 1.6 1135 0 38.9-4.8 75.9-25.6 100-56.4 15-19.3 24.2-39 29.8-63.9l2.2-10.1v-837l-2.2-10.1c-7.1-31.8-21.9-58.3-44.6-80.1-20.2-19.2-43.9-31.7-73.6-38.5l-9.6-2.3L705 1.4c-321.9-.1-568.5.2-572.5.7zm1123.4 99.5c1.7.4 3.1 1 3.1 1.4 0 .5-125.6 87.7-279 194L700.9 490.2 422 297C268.5 190.7 143 103.4 143 103c0-.5 1-1.1 2.3-1.3 3.5-.7 1107.1-.8 1110.6-.1zM401 404c164.4 113.8 299.4 207 300 207 .6 0 135.6-93.2 300.1-207 164.5-113.9 299.3-207 299.5-207 .2 0 .4 170.9.4 379.7 0 417.9.5 386-6.1 398.3-6.2 11.6-19 21.4-31.9 24.4-5.8 1.4-67.4 1.6-562 1.6s-556.2-.2-562-1.6c-12.9-3-25.7-12.8-31.9-24.4-6.6-12.3-6.1 19.6-6.1-398.3 0-208.8.2-379.7.5-379.7S236.6 290.1 401 404z"></path> </svg></span></a><a href="https://orcid.org/0000-0001-5624-4272" aria-label="Redirect to Doi" target="_blank" rel="noreferrer"><span role="img" class="anticon"> <svg xmlns="http://www.w3.org/2000/svg" viewbox="0 0 256 256" xml:space="preserve" width="1em" height="1em"> <path d="M256 128c0 70.7-57.3 128-128 128S0 198.7 0 128 57.3 0 128 0s128 57.3 128 128z" fill="#a6ce39"></path> <path d="M86.3 186.2H70.9V79.1h15.4v107.1zm22.6-107.1h41.6c39.6 0 57 28.3 57 53.6 0 27.5-21.5 53.6-56.8 53.6h-41.8V79.1zm15.4 93.3h24.5c34.9 0 42.9-26.5 42.9-39.7C191.7 111.2 178 93 148 93h-23.7v79.4zM88.7 56.8c0 5.5-4.5 10.1-10.1 10.1s-10.1-4.6-10.1-10.1c0-5.6 4.5-10.1 10.1-10.1s10.1 4.6 10.1 10.1z" fill="#fff"></path> </svg></span></a><sup>1</年代up></span> </div> <div class="simpleShowMore"> <button class="simpleShowMore__button">显示更多</button> </div> <div class="articleHeader__academicEditor"> <strong>学术编辑器:</年代trong> <span>Hangjun切</年代pan> </div> <div class="articleHeader__timeline"> <div class="articleHeader__timeline_item "> <strong>收到了</年代trong> <span>2021年11月17日</年代pan> </div> <div class="articleHeader__timeline_item "> <strong>修改后的</年代trong> <span>2022年1月21日</年代pan> </div> <div class="articleHeader__timeline_item "> <strong>接受</年代trong> <span>2022年1月25日</年代pan> </div> <div class="articleHeader__timeline_item articleHeader__timeline_item_sticky"> <strong>发表</年代trong> <span>2022年04月01</年代pan> </div> </div> </div> <div class="articleBody"> <div class="xml-content"> <h4 class="header" id="abstract">文摘</h4> <p>快速增长的互联网用户的数量和在线评论的数量数据,大量的样本数据挖掘技术提供了可参考的信息。作为数据挖掘技术的应用,文本情感分类可以广泛应用于公众舆论管理、市场营销、等领域。在这项研究中,结合SVM(支持向量机)和IPSO方法提出了改进的粒子群优化)通过使用文本数据分类的情绪。首先,30000种商品评论的文本数据和相应的评级是通过网络爬虫收集。然后,TFIDF(术语frequency-inverse文档频率)和Word2vec货物审查文本数据进行向量化。接下来,由支持向量机训练分类模型,提出和初始IPSO的支持向量机参数进行优化。最后,我们训练SVM-IPSO模型应用于测试集和评估性能的若干措施。我们的实验结果表明,该模型表现最好的文本情感分类的数据。此外,传统的机器学习模型支持向量机参数优化后变得非常有效,这表明,参数的优化IPSO已经成功地提高了分类精度。此外,我们建议的模型SVM-IPSO明显优于其他基准模型,表明它可以应用于改善文本数据的情绪分类的精度和效率。</p> <span class="end-abs"></span> <h4 id="introduction">1。介绍</h4> <p>自然语言处理(NLP)指的是人类独特的自然语言处理技术与计算机作为一种工具,是一个重要的内容在人工智能和计算机科学领域(<a href="#B1">1</a>]。情感分析是自然语言处理的方向之一,也被称为情绪提取或意见挖掘,并在文本挖掘的一个热门话题<a href="#B2">2</a>]。文本信息挖掘可以应用于很多方面,如用户反馈,评论信息,广告推荐智能分析之后,政府部门的民意检测,处理不文明和不真实的信息。</p> <p>大卫等人设计了最早的情感分析工具(<a href="#B3">3</a>]。去等人用训练集数据设计的标签分类多个基于主题的集群(<a href="#B4">4</a>]。Joshi等人设计了一套情感分析系统,该微博的评论分为积极和消极情绪基于微博的某些特征,如表情符号(<a href="#B5">5</a>]。Gamon等人使用集群的功能来获得用户的意见和分析了情感的倾向和强度评价汽车(<a href="#B6">6</a>]。李等人完成的情感分析,使用SVM特征选择和提取,贝叶斯分类和n元语言方法(<a href="#B7">7</a>]。李Guwei等人构建一个无监督主题情感模型实现情感分类(<a href="#B8">8</a>]。杰森等人CNN应用于文本,准确的预测在一维结构的帮助下(词序)的文本数据(<a href="#B9">9</a>]。Yoom金正日使用卷积实现字面意思为英语文本分类模型。雪等人提出了一种基于卷积神经网络分类模型和闸门机制<a href="#B10">10</a>]。Parupalli等人建造了一个语料库与系统化的注释<a href="#B11">11</a>],它支持使用句注释来提高情感分析任务。Angelidis等人提出一种引起极性评分法对积极和消极的文本片段(<a href="#B12">12</a>]。Gui等人提出了上下文信息的情感原因通过进一步建模中提取文本情感分类的基础上(<a href="#B13">13</a>]。元等人用全球解码器前馈网络实现多语言文本的识别,铺设复杂的文本分析的基础(<a href="#B14">14</a>]。Bordoloi等人设计了一个有效的情感分析模型,进行了一个先进的手机电子商务网站收集的评论分析基于图的关键字提取方法(<a href="#B15">15</a>]。卷积神经网络(CNN)已经广泛应用于许多领域,如图像识别和NLP(例如,卷积神经网络<a href="#B16">16</a>)已经被用于分类文本在社交网络感情基于图像卷积神经网络(<a href="#B17">17</a>]。有些学者深层神经网络用于情感分类和自然语言处理(<a href="#B18">18</a>]。其他研究已经通过注意力文本情感分类神经网络(<a href="#B19">19</a>),和其他领域<a href="#B20">20.</a>]。然而,cnn包含多个卷积层和汇聚层,需要更多的参数,需要大量成本参数的优化和调整。同时,梯度消失或梯度爆炸的问题存在于cnn,这限制了文本分类的准确性。</p> <p>积极和消极情绪的分类使用支持向量机良好的执行效率,但支持向量机的参数模型来确定预测精度的关键因素。因此,研究人员引入粒子群优化算法(PSO)优化参数获得精度高。算法是智能优化算法的一个重要分支<a href="#B21">21</a>),并在1995年提出了(<a href="#B22">22</a>]。标准PSO算法具有良好的性能在解决各种各样的非线性优化问题。它控制整个迭代过程的帮助下单独优化和组织优化和收敛速度快,执行效率高。然而,在迭代后期,单个粒子的多样性的人口很小。如果全局最优的位置和当地最佳等于粒子,一定数量的迭代之后,该算法可能会陷入局部最优,从而导致全球表现不佳。提高算法的性能,引入惯性权重史等人在1988年发挥了关键作用在提高算法的性能<a href="#B23">23</a>]。在这项研究中,自适应减少惯性策略和交叉算子相结合来提高搜索质量的粒子群优化算法和支持向量机模型的参数优化的改进算法,进一步提高预测精度。与其他情感分析模型相比,该模型的训练速度快,预测精度较好。</p> <p>本研究的主要贡献是(1)30000种商品评论的文本数据和相应的评级是收集通过网络爬虫和(2)TFIDF和Word2vec货物审查文本数据进行向量化。研究结果表明,SVM-IPSO弥补传统情感词典的不足影响通过词序和不同的局部优化环境和解决问题。我们的研究避免了梯度的问题消失或分散使用卷积时,降低了参数优化和调整的成本,具有较高的运行效率和精度,并可以预测文本情感。我们研究的主要含义是,我们提出的文本情感分类模型可以广泛应用于公众舆论管理、市场营销、等领域。帮助从业者提供详细分析和顾客评论的肖像。</p> <h4 id="data-preparation">2。数据准备</h4> <p>在分类之前,数据准备包括数据采集和预处理是必要的。</p> <h5 id="sec2.1">2.1。评论数据获取</h5> <p>数据采集可以分为URL队列收购,相关网页解析,数据抓取、数据清洗和数据存储。</p> <p>首先,商品评论的数据从淘宝电子商务平台。淘宝电子商务商品评论五星级评级机制,1星到5星:非常贫穷,贫穷,好,建议,和强烈建议;在这个实验中,一星和二星级的评论被认为是负面评论,而四星级和五星级的评论被视为积极的评论。然后,基于Scrapy框架来实现数据采集,我们生成相应的积极和消极情感评论的csv文件。最后,通过进一步筛选,21000获得的积极评价和负面评论是9000,其中三分之二被用作训练集和测试集。1/3的分布实验数据表中列出<a href="//www.newsama.com/journals/sp/2022/3330196/tab1/" target="_blank">1</a>。</p> <div class="floats-partial-section partial-other-wrapper" data-section="tab1"> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">表1</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/tab1/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> 实验语料库数据分布。</div> <a class="table-thumb-overlay" href="//www.newsama.com/journals/sp/2022/3330196/tab1" target="_blank" aria-label="View full page"></a> </div> </div> <p>获得足够的数据集规模,有必要实现模拟登录在爬行过程中,突破网络爬虫的局限性。同时,评论可能在当前页面是不完整的。Scrapy有一个默认的重复数据删除机制,这将决定第二次重复爬行,所以URL复制需要解决的问题。</p> <h5 id="sec2.2">2.2。文本预处理</h5> <p>文本预处理是进一步处理原始数据,使数据到下一个可操作的对象。预处理包括词重复,停止噪音,分词,词。<年代pan class="list"><span class="list-item"><span class="list-label">(1)</年代pan><span class="list-content">文本重:不仅有重复的单词在文本预处理,导致存储冗余,而且增加的计算量,因此有必要在重复的遍历。</年代pan></span><span class="list-item"><span class="list-label">(2)</年代pan><span class="list-content">文本去噪:一些令人不安的单词或混乱的字符出现在文本,需要去噪,提高分析的准确性。</年代pan></span><span class="list-item"><span class="list-label">(3)</年代pan><span class="list-content">分词:文本中的词分割并给予对应的词类结合字典。在英语中,每个单词之间用一个空格来分隔),所以它是容易的过程,而中国分词字典的综合精度有很高的要求,因此本文采用jieba分词在Python语言的环境中。</年代pan></span><span class="list-item"><span class="list-label">(4)</年代pan><span class="list-content">删除停止:停止词指模态粒子,副词,介词,连词,等等,这不是有用的实验结果,可以总结成停止词列表,删除。</年代pan></span></span></p> <h5 id="sec2.3">2.3。词向量化</h5> <p>文本非结构化或半结构式数据,不能认识到支持向量机分类器。因此,需要转换成文本向量形式为进一步分析和处理。辞典编纂的量化是指词的表达向量形式;同时,它是必要的,以确保加工向量的相关语义相似度和相对相似。词向量化可以映射的词或短语为实数向量和降低高维的特征向量空间到低维空间。有许多模型将文字转换成一个实数向量,如隐狄利克雷位置(LDA)和隐式语义分析(LSA)。然而,上述模型的计算量会急剧增加的数据总量的增加,和word2vec解决这个问题,提高了效率。</p> 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13.398 11.44" width="13.398pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B4-3"> <g transform="matrix(.013,0,0,-0.013,0,9.25)"> <path d="M300 -147C201 -63 143 98 143 270S200 602 300 686L282 710C136 611 70 451 70 272V271C70 90 136 -71 282 -169L300 -147Z" id="g190-41"></path> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.25)"> <path d="M311 0V25C221 32 216 41 216 113V635C162 613 103 594 39 583V559L88 556C131 552 135 546 135 500V113C135 41 131 32 40 25V0H311Z" id="g190-213"></path> </g> <g transform="matrix(.013,0,0,-0.013,8.9,9.25)"> <path d="M275 271C275 451 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 269V271Z" id="g190-42"></path> </g> </g> </svg> <svg class="alt_label" height="69.4477pt" id="IL4" version="1.1" viewbox="0 0 13.45 69.4477" width="13.45pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 28.79)" xlink:href="#B4-3"></use> </svg></span></span></p> <h4 id="methods">3所示。方法</h4> <h5 id="sec3.1">3.1。支持向量机分类</h5> <p>支持向量机可以构造一个超平面之间的距离最大化决定的正负两极表面。主要的思想是图所示<a href="//www.newsama.com/journals/sp/2022/3330196/fig1/" target="_blank">1</a>。</p> <div class="partial-carousel-wrapper"> <div class="floats-partial-section"> <div class="floats-partial-content"> <div class="partial-carousel--full-image partial-carousel-77d2b49d68324cdc21973aee6ad48a93"> <div class="partial-carousel--single-image"> <img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/figures/3330196.fig.001.jpg"> <br> <strong></strong> </div> </div> </div> <div class="floats-partial-middle"> <div class="floats-partial-middle--thumbs"> <div class="partial-carousel-dots-77d2b49d68324cdc21973aee6ad48a93 partial-carousel-thumbnail"> <button aria-label="Slide to " class="partial-carousel-dot"><img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/thumbnails/3330196.fig.001_th.jpg"><br><strong></strong></button> </div> </div> <div class="floats-partial-middle--nav"> <div class="partial-carousel-next-prev-77d2b49d68324cdc21973aee6ad48a93 partial-carousel-next-prev"> <button aria-label="Previous" class="carousel-prev"></button> <button aria-label="Next" class="carousel-next"></button> </div> </div> </div> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">图1</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/fig1/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> 支持向量机分类模型。</div> </div> </div> </div> <p>在图<a href="//www.newsama.com/journals/sp/2022/3330196/fig1/" target="_blank">1</a>、四角恒星和圆圈分别代表两种类型的样本,SVM最大化这两种样品的直线距离。假设<年代vg height="9.14241pt" id="M5" style="vertical-align:-3.1815pt" version="1.1" viewbox="-0.0498162 -5.96091 12.2751 9.14241" width="12.2751pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <path d="M536 404C536 423 520 448 491 448C445 448 398 404 308 283L286 338C255 416 242 448 217 448C182 448 138 402 92 341L111 321C149 368 169 378 178 378C188 378 198 363 214 320L254 212C185 117 138 65 107 65C98 65 85 69 82 75C79 82 73 86 65 86C44 86 23 60 23 39C23 7 44 -12 71 -12C119 -12 168 33 265 177L306 61C321 17 347 -12 373 -12C413 -12 465 33 507 96L491 119C459 84 432 60 413 60C395 60 378 92 358 148L321 250C341 279 369 310 389 332C417 363 439 382 456 382C466 382 475 376 481 368C486 361 492 358 496 358C513 358 536 381 536 404Z" id="g113-121"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,7.202,3.132)"> <use xlink:href="#g50-50"></use> </g> </svg>=<年代pan class="inline_break"> <svg height="12.5794pt" id="M6" style="vertical-align:-3.29107pt" version="1.1" viewbox="-0.0498162 -9.28833 17.733 12.5794" width="17.733pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <path d="M293 -169V-141C218 -131 209 -90 209 -44C209 19 222 85 222 152C222 207 198 255 139 269V273C199 286 222 334 222 388C222 454 209 523 209 588C209 632 218 671 293 681V709C234 709 148 695 148 577C147 513 155 438 155 372C155 337 152 291 64 285V256C152 250 155 204 155 169C156 105 148 31 148 -41C148 -157 234 -169 293 -169Z" id="g113-124"></path> </g> <g transform="matrix(.013,0,0,-0.013,4.511,0)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,11.713,3.132)"> <use xlink:href="#g50-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,14.769,0)"> <use xlink:href="#g113-45"></use> </g> </svg><span class="ipunc"></span> <svg height="12.5794pt" style="vertical-align:-3.29107pt" version="1.1" viewbox="22.0371838 -9.28833 14.045 12.5794" width="14.045pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,22.087,0)"> <use xlink:href="#g113-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,29.268,0)"> <path d="M448 1V51H364C248 51 153 129 140 230H448V280H140C153 381 248 459 364 459H448V509H365C208 509 80 395 80 255S208 1 365 1H448Z" id="g117-173"></path> </g> </svg><span class="irelop"></span> <svg height="12.5794pt" style="vertical-align:-3.29107pt" version="1.1" viewbox="39.7141838 -9.28833 14.404 12.5794" width="14.404pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,39.764,0)"> <path d="M405 650H141L135 622C222 616 230 610 215 535L133 116C118 41 113 33 29 28L23 0H289L295 28C209 33 205 40 219 116L298 535C312 609 317 616 399 622L405 650Z" id="g113-74"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,44.483,3.132)"> <use xlink:href="#g50-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,49.429,0)"> <path d="M283 255V284C195 290 192 337 192 375C192 436 200 508 200 580C200 696 116 709 54 709V681C127 671 139 634 139 588C138 524 125 452 125 387C125 333 149 286 209 272V268C148 253 125 206 125 151C126 87 139 16 139 -47C139 -92 127 -131 54 -141V-169C115 -169 200 -152 200 -41C200 32 192 104 192 164C192 202 195 249 283 255Z" id="g113-126"></path> </g> </svg></span>和<年代pan class="inline_break"> <svg height="12.5794pt" id="M7" style="vertical-align:-3.29107pt" version="1.1" viewbox="-0.0498162 -9.28833 23.411 12.5794" width="23.411pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,7.202,3.132)"> <use xlink:href="#g50-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,15.78,0)"> <use xlink:href="#g117-34"></use> </g> </svg><span class="irelop"></span> <svg height="12.5794pt" style="vertical-align:-3.29107pt" version="1.1" viewbox="26.9931838 -9.28833 17.733 12.5794" width="17.733pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,27.043,0)"> <use xlink:href="#g113-124"></use> </g> <g transform="matrix(.013,0,0,-0.013,31.554,0)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,38.756,3.132)"> <use xlink:href="#g50-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,41.812,0)"> <use xlink:href="#g113-45"></use> </g> </svg><span class="ipunc"></span> <svg height="12.5794pt" style="vertical-align:-3.29107pt" version="1.1" viewbox="49.0801838 -9.28833 14.045 12.5794" width="14.045pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,49.13,0)"> <use xlink:href="#g113-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,56.311,0)"> <use xlink:href="#g117-173"></use> </g> </svg><span class="irelop"></span> <svg height="12.5794pt" style="vertical-align:-3.29107pt" version="1.1" viewbox="66.7571838 -9.28833 14.46 12.5794" width="14.46pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,66.807,0)"> <use xlink:href="#g113-74"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,71.526,3.132)"> <use xlink:href="#g50-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,76.473,0)"> <use xlink:href="#g113-126"></use> </g> </svg></span>两个训练集的标签<年代vg height="11.8174pt" id="M8" style="vertical-align:-3.1815pt" version="1.1" viewbox="-0.0498162 -8.6359 14.9631 11.8174" width="14.9631pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <path d="M748 650H522L515 622L546 617C580 611 587 604 565 575C518 513 469 451 419 393C376 474 349 534 330 580C318 609 325 612 361 618L383 622L392 650H151L144 622C214 616 224 612 257 543L360 327C270 218 187 124 159 95C106 40 92 34 26 28L17 0H252L259 28L236 31C189 37 188 47 209 78C249 136 308 210 377 294L478 79C494 44 487 37 449 32L418 28L409 0H673L680 28C596 34 591 39 554 116L436 361C526 469 574 521 604 553C659 612 669 614 739 622L748 650Z" id="g113-89"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,9.88,3.132)"> <use xlink:href="#g50-50"></use> </g> </svg>+ 1的标签吗<年代vg height="11.8174pt" id="M9" style="vertical-align:-3.1815pt" version="1.1" viewbox="-0.0498162 -8.6359 14.9631 11.8174" width="14.9631pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-89"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,9.88,3.132)"> <use xlink:href="#g50-51"></use> </g> </svg>−1:<年代pan class="equation_break" id="EEq2"><span class="left_break" id="L10"></span><span class="middle_break"><span class="center_break" id="M10"> <svg height="81.0944pt" id="M10-1" version="1.1" viewbox="0 0 46.844 81.0944" width="46.844pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B10-1"> <g transform="matrix(.013,0,0,-0.013,0,10.58)"> <path d="M766 88L752 113C719 83 690 64 681 64C674 64 672 74 679 103L724 292C758 436 724 448 701 448C680 448 666 442 639 429C594 407 514 350 441 252H439L447 289C476 423 450 448 419 448C398 448 379 441 355 427C307 400 234 344 162 249H160L180 324C203 409 197 448 170 448C144 448 82 413 23 349L35 321C57 343 96 374 108 374C115 374 117 371 111 341C87 227 57 112 24 -6L32 -12C53 -4 81 4 108 6C119 68 134 128 149 171C177 229 309 383 364 383C387 383 388 355 373 282C354 190 330 92 303 -6L309 -12C332 -4 356 3 386 6C396 63 411 122 424 171C458 236 590 383 642 383C658 383 664 369 652 315L603 91C587 20 593 -12 619 -12C642 -12 708 23 766 88Z" id="g113-110"></path> </g> <g transform="matrix(.013,0,0,-0.013,13.89,10.58)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,25.15,3.912)"> <path d="M162 0V316H101V0H162Z" id="g119-34"></path> </g> <g transform="matrix(.013,0,0,-0.013,25.15,7.514)"> <use xlink:href="#g119-34"></use> </g> <g 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transform="matrix(.013,0,0,-0.013,0,56.111)"> <path d="M238 681C243 705 239 712 230 712C217 712 156 682 75 674L70 648H105C148 648 153 641 144 598L39 110C18 11 35 -12 55 -12C90 -12 166 36 221 103L205 125C174 93 130 65 118 65C112 65 108 68 114 96L238 681Z" id="g113-109"></path> </g> <g transform="matrix(.013,0,0,-0.013,7.13,56.111)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,18.4,56.111)"> <use xlink:href="#g113-110"></use> </g> <g transform="matrix(.013,0,0,-0.013,31.56,56.111)"> <path d="M535 230V280H323V490H265V280H52V230H265V-3H323V230H535Z" id="g117-36"></path> </g> <g transform="matrix(.013,0,0,-0.013,42.1,56.111)"> <use xlink:href="#g113-108"></use> </g> <g transform="matrix(.013,0,0,-0.013,48.63,56.111)"> <use xlink:href="#g113-45"></use> </g> </g> </svg> <svg height="81.0944pt" id="M10-4" version="1.1" viewbox="0 0 70.904 81.0944" width="70.904pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B10-4"> <g transform="matrix(.013,0,0,-0.013,0,77.13)"> <use xlink:href="#g113-89"></use> </g> <g transform="matrix(.013,0,0,-0.013,13.58,77.13)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,24.84,77.13)"> <use xlink:href="#g113-89"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,34.72,80.262)"> <use xlink:href="#g50-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,42.57,77.13)"> <path d="M535 194V548H477V194C477 102 391 35 294 35S111 102 111 194V548H53V194C53 72 166 -15 294 -15S535 72 535 194Z" id="g117-59"></path> </g> <g transform="matrix(.013,0,0,-0.013,53.11,77.13)"> <use xlink:href="#g113-89"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,62.99,80.262)"> <use xlink:href="#g50-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,67.94,77.13)"> <use xlink:href="#g113-47"></use> </g> </g> </svg></span></span><span class="right_break" id="R10"> <svg class="label" height="11.44pt" id="M10-5" version="1.1" viewbox="0 0 15.038 11.44" width="15.038pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B10-5"> <g transform="matrix(.013,0,0,-0.013,0,9.26)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.26)"> <path d="M411 139C381 76 368 73 314 73H129L267 224C351 317 400 380 400 469C400 574 322 635 233 635C176 635 128 610 98 576L40 495L63 476C89 515 130 568 198 568C274 568 316 519 316 436C316 347 251 264 191 192C142 134 85 76 30 21V0H403C415 45 425 89 438 131L411 139Z" id="g190-243"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.54,9.26)"> <use xlink:href="#g190-42"></use> </g> </g> </svg></span></span></p> <p>当<年代vg height="11.8174pt" id="M11" style="vertical-align:-3.1815pt" version="1.1" viewbox="-0.0498162 -8.6359 14.9631 11.8174" width="14.9631pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-89"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,9.88,3.132)"> <use xlink:href="#g50-50"></use> </g> </svg>和<年代vg height="11.8174pt" id="M12" style="vertical-align:-3.1815pt" version="1.1" viewbox="-0.0498162 -8.6359 14.9631 11.8174" width="14.9631pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-89"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,9.88,3.132)"> <use xlink:href="#g50-51"></use> </g> </svg>是线性可分的,支持向量机分离这两种采样点没有错误通过构造一个线性分类超平面分类超平面是吗<年代pan class="equation_break" id="EEq3"><span class="left_break" id="L13"></span><span class="middle_break"><span class="center_break" id="M13"> <svg height="36.6772pt" id="M13-1" version="1.1" viewbox="0 0 81.364 36.6772" width="81.364pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B13-1"> <g transform="matrix(.013,0,0,-0.013,0,9.288)"> <path d="M828 650H570L564 622C646 614 650 609 634 524L604 366H253L281 524C296 608 308 615 382 622L388 650H132L126 622C211 615 214 609 198 524L121 122C106 42 102 35 23 28L17 0H276L282 28C196 35 191 40 206 122L243 324H597L559 123C544 42 537 35 452 28L446 0H710L716 28C632 35 628 43 643 122L719 524C735 610 741 615 822 622L828 650Z" id="g113-73"></path> </g> <g transform="matrix(.013,0,0,-0.013,14.55,9.288)"> <path d="M116 412C83 412 59 388 59 355C59 321 83 297 115 297S170 321 170 355C170 388 147 412 116 412ZM114 -12C147 -12 171 11 171 46C171 78 147 103 115 103C84 103 60 78 60 46C60 11 84 -12 114 -12Z" id="g113-59"></path> </g> <g transform="matrix(.013,0,0,-0.013,21.15,9.53)"> <path d="M360 -163L167 270L360 703H298L106 273V267L298 -163H360Z" id="g113-61"></path> </g> <g transform="matrix(.013,0,0,-0.013,26.54,9.288)"> <path d="M615 290C615 392 563 448 529 448C511 448 491 441 484 434L483 425C518 400 546 349 546 273C546 158 504 46 417 46C381 46 356 77 356 142C356 184 380 293 392 334L387 340L307 323C305 288 296 228 287 188C265 94 221 52 180 52C144 52 112 89 112 171C112 278 164 372 241 430L226 454C106 394 23 288 23 155C23 40 79 -12 139 -12C184 -12 245 32 285 85C292 31 322 -12 376 -12C423 -12 470 18 501 45C570 104 615 184 615 290Z" id="g113-246"></path> </g> <g transform="matrix(.013,0,0,-0.013,37.74,9.288)"> <path d="M170 255C170 288 146 313 114 313S58 288 58 255C58 221 82 198 114 198S170 221 170 255Z" id="g113-46"></path> </g> <g transform="matrix(.013,0,0,-0.013,43.61,9.288)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.013,0,0,-0.013,50.88,9.53)"> <path d="M307 267V273L115 703H53L246 270L53 -163H115L307 267Z" id="g113-63"></path> </g> <g transform="matrix(.013,0,0,-0.013,59.97,9.288)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,71.23,9.288)"> <path d="M529 97L508 118C475 75 449 58 438 58C428 58 421 66 415 104C393 234 374 403 364 496C345 670 307 712 254 712C220 712 174 691 153 669L161 645C176 653 194 658 206 658C237 658 261 640 278 562C287 522 290 483 293 434C223 269 110 105 23 9L32 -12C59 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286V255C173 249 176 199 176 162C176 74 168 -28 168 -127C168 -252 259 -265 321 -265Z" id="g119-7"></path> </g> <g transform="matrix(.013,0,0,-0.013,34.72,32.713)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,41.92,35.844)"> <use xlink:href="#g50-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,44.97,32.713)"> <use xlink:href="#g113-45"></use> </g> <g transform="matrix(.013,0,0,-0.013,52.29,32.713)"> <use xlink:href="#g113-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,59.47,32.713)"> <use xlink:href="#g117-173"></use> </g> <g transform="matrix(.013,0,0,-0.013,69.97,32.713)"> <use xlink:href="#g113-74"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,74.69,35.844)"> <use xlink:href="#g50-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,79.63,32.713)"> <path d="M310 255V286C210 292 207 342 207 380C207 471 215 574 215 663C215 790 124 805 62 805V776C146 765 156 723 156 676C156 585 139 489 139 397C139 339 162 287 224 273V269C163 254 139 202 139 143C139 49 156 -64 156 -132C156 -181 146 -225 62 -236V-265C124 -265 215 -252 215 -127C215 -28 207 74 207 162C207 199 210 249 310 255Z" id="g119-8"></path> </g> <g transform="matrix(.013,0,0,-0.013,86.91,32.713)"> <use xlink:href="#g113-47"></use> </g> </g> </svg></span></span><span class="right_break" id="R13"> <svg class="label" height="11.44pt" id="M13-3" version="1.1" viewbox="0 0 14.868 11.44" width="14.868pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B13-3"> <g transform="matrix(.013,0,0,-0.013,0,9.26)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.26)"> <path d="M269 381C298 400 325 421 340 436C360 455 370 476 370 504C370 579 313 635 223 635H222C170 635 123 610 95 579L52 516L72 497C95 533 136 577 193 577C245 577 286 546 286 482C286 408 218 369 127 339L133 314C149 319 174 325 197 325C254 325 324 285 324 192C325 83 266 39 201 39C143 39 103 68 78 91C70 98 62 97 54 91C45 84 33 71 32 58C30 46 34 35 48 22C61 10 102 -12 148 -12C216 -12 410 57 410 225C410 298 357 362 269 379V381Z" id="g190-232"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.37,9.26)"> <use xlink:href="#g190-42"></use> </g> </g> </svg></span></span></p> <p>SVM提出一个最优平面分类条件下的线性可分性,要求模型不仅区分数据没有错误,也最大化分类差距。线性判别函数通常表示为多维空间<年代pan class="equation_break" id="EEq4"><span class="left_break" id="L14"></span><span class="middle_break"><span class="center_break" id="M14"> <svg height="13.9183pt" id="M14-1" version="1.1" viewbox="0 0 79.694 13.9183" width="79.694pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B14-1"> <g transform="matrix(.013,0,0,-0.013,0,9.288)"> <path d="M546 430L539 434C529 434 505 438 495 440C473 444 450 448 430 448C352 448 265 412 213 366C145 306 96 203 96 103C96 22 135 -12 160 -12C190 -12 238 14 262 32C310 68 368 120 411 184H413C403 117 396 75 384 21C353 -118 325 -158 291 -184C270 -200 241 -205 208 -205C133 -205 90 -164 74 -110C70 -98 58 -100 49 -107C34 -119 23 -140 23 -155C23 -190 74 -261 166 -261C219 -261 280 -233 314 -208C383 -157 446 -79 470 81C491 223 529 388 546 430ZM456 386C452 357 433 283 420 252C402 216 366 174 325 129C288 88 239 56 212 56C192 56 182 77 182 120C182 165 199 242 226 292C256 348 281 377 311 389C327 395 353 402 375 402C408 402 436 394 456 386Z" id="g113-104"></path> </g> <g transform="matrix(.013,0,0,-0.013,9.57,9.471)"> <path d="M300 -147C201 -63 143 98 143 270S200 602 300 686L282 710C136 610 70 450 70 271V270C70 89 136 -72 282 -170L300 -147Z" id="g113-41"></path> </g> <g transform="matrix(.013,0,0,-0.013,14.09,9.288)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.013,0,0,-0.013,21.36,9.471)"> <path d="M275 270C275 450 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 270Z" id="g113-42"></path> </g> <g transform="matrix(.013,0,0,-0.013,29.53,9.288)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,40.79,9.288)"> <use xlink:href="#g113-120"></use> </g> <g transform="matrix(.013,0,0,-0.013,49.92,9.288)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.013,0,0,-0.013,60.09,9.288)"> <use xlink:href="#g117-36"></use> </g> <g transform="matrix(.013,0,0,-0.013,70.63,9.288)"> <path d="M452 333C452 398 425 448 375 448C329 448 235 404 140 292H138L229 683C233 701 234 712 225 712C208 712 149 686 66 677L64 652H97C135 652 140 651 129 598L38 167C23 96 29 57 44 33C60 7 98 -12 132 -12C169 -12 232 3 290 41C383 102 452 223 452 333ZM365 316C365 199 308 87 239 49C221 39 200 35 183 35C137 35 99 70 112 163C116 191 123 215 129 233C190 316 290 392 330 392C348 392 365 372 365 316Z" id="g113-99"></path> </g> <g transform="matrix(.013,0,0,-0.013,76.73,9.288)"> <use xlink:href="#g113-47"></use> </g> </g> </svg></span></span><span class="right_break" id="R14"> <svg class="label" height="11.44pt" id="M14-2" version="1.1" viewbox="0 0 15.458 11.44" width="15.458pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B14-2"> <g transform="matrix(.013,0,0,-0.013,0,9.25)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.25)"> <path d="M465 179V225H369V632H330C227 497 124 346 29 205V179H289V107C289 37 284 33 198 26V0H454V26C374 33 369 37 369 107V179H465ZM289 225H92C156 335 222 430 287 520H289V225Z" id="g190-166"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.96,9.25)"> <use xlink:href="#g190-42"></use> </g> </g> </svg></span></span></p> <p>分类面方程是ab,判别函数归一化这两种样本之间的距离书籍和最优平面大于或等于1。</p> <p>在这一点上,最近的样本分类平面上满足| g (x) | = 1的样本方程(<a href="#EEq5">5</a>)是支持向量:<年代pan class="equation_break" id="EEq5"><span class="left_break" id="L15"></span><span class="middle_break"><span class="center_break" id="M15"> <svg height="14.5707pt" id="M15-1" version="1.1" viewbox="0 0 181.324 14.5707" width="181.324pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B15-1"> <g 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transform="matrix(.013,0,0,-0.013,117.08,10.593)"> <use xlink:href="#g113-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,123.32,10.593)"> <use xlink:href="#g113-45"></use> </g> <g transform="matrix(.013,0,0,-0.013,128.46,10.593)"> <use xlink:href="#g113-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,134.7,10.593)"> <use xlink:href="#g113-45"></use> </g> <g transform="matrix(.013,0,0,-0.013,139.84,10.593)"> <path d="M285 378C315 398 338 416 353 432C373 451 384 474 384 503C384 579 325 635 236 635H235C182 635 136 610 108 579L65 516L85 496C110 533 150 575 205 575C258 575 300 543 300 481C300 407 232 369 141 339L147 310C163 315 188 321 211 321C268 321 338 284 338 192C338 94 288 40 217 40C160 40 119 68 93 91C85 98 77 97 69 91C60 84 47 71 46 58C44 46 48 35 62 22C75 10 116 -12 162 -12C234 -12 424 62 424 224C424 297 373 359 285 376V378Z" id="g113-52"></path> </g> <g transform="matrix(.013,0,0,-0.013,146.08,10.593)"> <use xlink:href="#g113-45"></use> </g> <g transform="matrix(.013,0,0,-0.013,151.23,10.593)"> <use xlink:href="#g113-47"></use> </g> <g transform="matrix(.013,0,0,-0.013,156.37,10.593)"> <use xlink:href="#g113-47"></use> </g> <g transform="matrix(.013,0,0,-0.013,161.51,10.593)"> <use xlink:href="#g113-47"></use> </g> <g transform="matrix(.013,0,0,-0.013,166.69,10.593)"> <use xlink:href="#g113-45"></use> </g> <g transform="matrix(.013,0,0,-0.013,171.83,10.593)"> <path d="M495 86L479 114C446 82 419 66 409 66C401 66 401 72 406 97C420 166 436 231 453 297C489 435 454 448 428 448C406 448 384 439 354 422C305 394 222 327 161 247H159L183 345C200 415 194 448 173 448C143 448 82 410 23 351L38 325C64 349 95 371 105 371C111 371 116 365 109 336L25 -4L31 -12C50 -4 77 3 107 9C119 69 132 122 145 168C197 254 321 381 370 381C387 381 393 374 378 305L329 95C309 17 320 -12 345 -12C372 -12 430 19 495 86Z" id="g113-111"></path> </g> <g transform="matrix(.013,0,0,-0.013,178.36,10.593)"> <use xlink:href="#g113-47"></use> </g> </g> </svg> <svg class="alt_equation" height="14.5707pt" id="I15" version="1.1" viewbox="0 0 181.32 14.5707" width="181.32pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 0)" xlink:href="#B15-1"></use> </svg></span></span><span class="right_break" id="R15"> <svg class="label" height="11.44pt" id="M15-2" version="1.1" viewbox="0 0 14.898 11.44" width="14.898pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B15-2"> <g transform="matrix(.013,0,0,-0.013,0,9.26)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.26)"> <path d="M130 550H367L393 615L386 623H101L63 323C82 331 123 342 165 342C275 342 328 277 328 188C328 107 283 40 201 40C141 40 99 72 78 91C69 99 59 98 51 91C39 81 30 67 29 58C28 48 33 37 46 24C60 10 104 -12 149 -12C203 -11 269 14 323 59C384 109 412 165 412 225C412 308 347 399 219 399C193 399 146 382 104 367L130 550Z" id="g190-161"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.4,9.26)"> <use xlink:href="#g190-42"></use> </g> </g> </svg> <svg class="alt_label" height="14.5707pt" id="IL15" version="1.1" viewbox="0 0 14.96 14.5707" width="14.96pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 1.35)" xlink:href="#B15-2"></use> </svg></span></span></p> <p>2 /分类间隔<年代pan class="nowrap"> <svg height="6.1673pt" id="M16" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -5.96091 9.39034 6.1673" width="9.39034pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-120"></use> </g> </svg>,</年代pan>的最低<年代pan class="inline_break"> <svg height="13.7421pt" id="M17" style="vertical-align:-2.1507pt" version="1.1" viewbox="-0.0498162 -11.5914 19.56 13.7421" width="19.56pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-120"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,9.257,-5.741)"> <use xlink:href="#g50-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,14.204,0)"> <path d="M368 703H309L44 -163H104L368 703Z" id="g113-48"></path> </g> </svg><span class="isep"></span> <svg height="13.7421pt" style="vertical-align:-2.1507pt" version="1.1" viewbox="19.515183800000003 -11.5914 6.411 13.7421" width="6.411pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,19.565,0)"> <use xlink:href="#g113-51"></use> </g> </svg></span>相当于最大区间,满足<年代pan class="inline_break"> <svg height="15.0208pt" id="M18" style="vertical-align:-3.429399pt" version="1.1" viewbox="-0.0498162 -11.5914 36.862 15.0208" width="36.862pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <path d="M542 242C542 369 469 429 379 468C370 472 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xlink:href="#g50-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,154.73,24.983)"> <use xlink:href="#g119-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,154.73,28.584)"> <use xlink:href="#g119-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,154.73,32.185)"> <use xlink:href="#g119-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,154.73,35.787)"> <use xlink:href="#g119-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,161.87,31.65)"> <path d="M512 230V281L75 514V456L453 256V254L75 55V-3L512 230Z" id="g117-92"></path> </g> <g transform="matrix(.013,0,0,-0.013,173.14,31.65)"> <use xlink:href="#g113-247"></use> </g> <g transform="matrix(.013,0,0,-0.013,178.47,31.65)"> <use xlink:href="#g113-47"></use> </g> </g> </svg> <svg class="alt_equation" height="59.8536pt" id="I20" version="1.1" viewbox="0 0 201.42 59.8536" width="201.42pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 -10.9)" xlink:href="#B20-1"></use> <use transform="matrix(1 0 0 1 5.6 23.46)" xlink:href="#B20-2"></use> </svg></span></span><span class="right_break" id="R20"> <svg class="label" height="11.44pt" id="M20-3" version="1.1" viewbox="0 0 15.428 11.44" width="15.428pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B20-3"> <g transform="matrix(.013,0,0,-0.013,0,9.26)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.49,9.26)"> <path d="M143 344C173 483 265 547 326 576C363 593 402 605 434 611L429 641C389 634 343 623 301 608C195 570 43 456 43 236C43 81 135 -12 245 -12C368 -12 453 88 453 208C453 310 380 393 273 393C253 393 232 386 211 376L143 344ZM234 338C325 338 367 255 367 172C367 102 346 21 264 21C184 21 132 113 132 239C132 267 133 291 138 312C164 327 197 338 234 338Z" id="g190-227"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.93,9.26)"> <use xlink:href="#g190-42"></use> </g> </g> </svg> <svg class="alt_label" height="59.8536pt" id="IL20" version="1.1" viewbox="0 0 15.49 59.8536" width="15.49pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 24)" xlink:href="#B20-3"></use> </svg></span></span></p> <p>非线性问题可以转化为线性问题,损失函数的使用<我>ε</我>惩罚参数C和松弛变量<我>ξ</我>,减少错误率,同时实现样品分离,具体公式如下:<年代pan class="equation_break" id="EEq7"><span class="left_break" id="L21"></span><span class="middle_break"><span class="center_break" id="M21"> <svg height="59.1144pt" id="M21-1" version="1.1" viewbox="0 0 29.195 59.1144" width="29.195pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B21-1"> <g transform="matrix(.013,0,0,-0.013,0.27,20.415)"> <path d="M797 0V26C739 32 732 36 732 103V296C732 394 682 449 605 449C576 449 550 437 529 423C504 407 475 389 446 366C425 418 382 449 334 449C303 449 279 437 253 421C222 403 201 385 180 371V452C135 432 85 419 41 411V388C99 379 102 374 102 310V103C102 38 93 32 27 26V0H238V26C189 32 180 38 180 103V338C210 363 250 390 289 390C351 390 377 348 377 275V103C377 37 368 32 306 26V0H520V26C465 32 456 38 456 101V296C456 314 455 326 453 338C491 369 529 390 565 390C628 390 653 345 653 274V107C653 36 642 32 583 26V0H797Z" id="g121-107"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.91,20.415)"> <path d="M135 536C164 536 186 560 186 587C186 617 164 639 136 639C109 639 85 617 85 587C85 560 109 536 135 536ZM252 0V26C188 32 181 38 181 106V451C138 433 90 420 39 412V388C99 379 102 374 102 312V106C102 38 95 32 32 26V0H252Z" id="g121-103"></path> </g> <g transform="matrix(.013,0,0,-0.013,14.4,20.415)"> <path d="M524 0V26C466 32 460 36 460 104V297C460 393 411 449 331 449C302 449 276 437 248 419C223 402 201 387 181 372V451C137 432 90 420 42 411V388C96 378 102 374 102 310V104C102 38 97 33 29 26V0H246V26C187 32 181 36 181 104V339C211 365 250 390 290 390C357 390 381 345 381 276V109C381 40 374 32 315 26V0H524Z" id="g121-108"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,0,29.34)"> <path d="M624 292C624 400 569 451 537 451C520 451 497 442 490 436L489 427C521 404 550 351 550 280C550 170 513 51 423 51C383 51 361 87 361 150C361 197 384 301 397 339L391 343L310 328C307 297 301 249 293 212C270 102 223 56 182 56C144 56 114 93 114 172C114 278 161 369 243 430L223 457C99 392 24 290 24 156C24 43 81 -12 141 -12C187 -12 247 32 286 88C295 31 325 -12 380 -12C431 -12 475 16 511 49C581 113 624 195 624 292Z" id="g50-246"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,5.9,29.34)"> <path d="M98 134C72 134 46 117 46 90C46 73 55 65 60 64C95 55 124 32 124 -4C124 -42 95 -68 44 -89L57 -123C122 -104 194 -60 194 22C194 94 136 134 98 134Z" id="g50-45"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,9.58,29.34)"> <path d="M460 334C460 396 434 451 378 451C330 451 241 408 148 300H146L237 679C241 697 241 710 232 710C213 710 153 684 67 675L66 646H95C141 646 145 642 134 595L39 170C23 97 31 54 46 33C64 8 100 -12 137 -12C178 -12 234 3 298 43C391 101 460 222 460 334ZM371 320C371 204 316 89 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<use xlink:href="#g113-236"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,120.94,48.887)"> <use xlink:href="#g50-44"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,120.61,58.934)"> <use xlink:href="#g50-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,127.01,55.15)"> <use xlink:href="#g113-47"></use> </g> </g> </svg> <svg class="alt_equation" height="146.865pt" id="I21" version="1.1" viewbox="0 0 175.73 146.865" width="175.73pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 -11.23)" xlink:href="#B21-1"></use> <use transform="matrix(1 0 0 1 3.63 26.66)" xlink:href="#B21-2"></use> <use transform="matrix(1 0 0 1 17.83 65.21)" xlink:href="#B21-3"></use> <use transform="matrix(1 0 0 1 17.83 99.03)" xlink:href="#B21-4"></use> <use transform="matrix(1 0 0 1 41.99 99.03)" xlink:href="#B21-5"></use> <use transform="matrix(1 0 0 1 0 87.75)" xlink:href="#B21-6"></use> </svg></span></span><span class="right_break" id="R21"> <svg class="label" height="11.44pt" id="M21-7" version="1.1" viewbox="0 0 15.028 11.44" width="15.028pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B21-7"> <g transform="matrix(.013,0,0,-0.013,0,9.25)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.25)"> <path d="M430 623H48C43 580 39 534 30 478H57C80 544 84 550 152 550H369C286 366 187 178 74 -1L81 -12L156 -2C249 201 343 408 438 611L430 623Z" id="g190-223"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.53,9.25)"> <use xlink:href="#g190-42"></use> </g> </g> </svg> <svg class="alt_label" height="146.865pt" id="IL21" version="1.1" viewbox="0 0 15.09 146.865" width="15.09pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 67.5)" xlink:href="#B21-7"></use> </svg></span></span></p> <p>拉格朗日因子<年代vg height="9.25202pt" id="M22" style="vertical-align:-3.29111pt" version="1.1" viewbox="-0.0498162 -5.96091 9.17078 9.25202" width="9.17078pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <path d="M483 97L471 123C436 91 401 65 392 65C388 65 384 74 390 106C414 239 444 378 457 429L455 433C444 433 429 436 416 439C392 444 368 448 344 448C281 448 204 415 152 376C71 315 23 205 23 103C23 21 57 -12 85 -12C114 -12 149 6 185 34C231 70 285 119 329 183H331L309 81C292 0 308 -12 326 -12C350 -12 421 24 483 97ZM374 387C370 363 356 291 345 261C315 193 181 50 139 50C124 50 110 71 110 118C110 224 153 331 218 379C238 394 271 402 301 402C329 402 359 394 374 387Z" id="g113-98"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,5.993,3.132)"> <use xlink:href="#g50-106"></use> </g> </svg>和<年代vg height="14.0461pt" id="M23" style="vertical-align:-3.9436pt" version="1.1" viewbox="-0.0498162 -10.1025 14.9566 14.0461" width="14.9566pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,2.175,0)"> <use xlink:href="#g113-98"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,8.755,-5.741)"> <use xlink:href="#g50-44"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,8.168,3.784)"> <use xlink:href="#g50-106"></use> </g> </svg>通过求解对偶问题。回归方程的系数<年代pan class="equation_break" id="EEq8"><span class="left_break" id="L24"></span><span class="middle_break"><span class="center_break" id="M24"> <svg height="37.9605pt" id="M24-1" version="1.1" viewbox="0 0 100.164 37.9605" width="100.164pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B24-1"> <g transform="matrix(.013,0,0,-0.013,0,22.717)"> <use xlink:href="#g113-120"></use> </g> <g transform="matrix(.013,0,0,-0.013,12.89,22.717)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,29.49,7.952)"> <path d="M238 675C244 702 241 710 231 710C220 710 155 682 74 673L70 643H101C147 643 151 635 142 594L39 111C18 11 36 -12 55 -12C89 -12 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128 -12 234 -12C319 -12 432 52 432 169C432 256 370 303 299 344C347 376 373 399 381 408C399 430 408 459 408 487C408 569 341 635 246 635ZM235 603C284 603 334 567 334 483C334 420 306 383 273 358C202 393 142 427 142 503C142 552 173 603 235 603ZM245 21C179 21 122 70 122 163C122 219 155 270 204 300C279 263 352 219 352 144C352 66 308 21 245 21Z" id="g190-152"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.67,9.26)"> <use xlink:href="#g190-42"></use> </g> </g> </svg></span></span></p> <p>使用高斯RBF,<年代pan class="equation_break" id="EEq9"><span class="left_break" id="L25"></span><span class="middle_break"><span class="center_break" id="M25"> <svg height="18.3157pt" id="M25-1" version="1.1" viewbox="0 0 153.884 18.3157" width="153.884pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B25-1"> <g transform="matrix(.013,0,0,-0.013,0,12.485)"> <use xlink:href="#g113-108"></use> </g> <g transform="matrix(.013,0,0,-0.013,8.72,12.485)"> <use xlink:href="#g119-5"></use> </g> <g transform="matrix(.013,0,0,-0.013,13.74,12.485)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,20.94,15.617)"> <use xlink:href="#g50-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,24,12.485)"> <use xlink:href="#g113-45"></use> </g> <g transform="matrix(.013,0,0,-0.013,29.14,12.485)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.013,0,0,-0.013,36.41,12.485)"> <use xlink:href="#g119-6"></use> </g> <g transform="matrix(.013,0,0,-0.013,45.13,12.485)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,56.39,12.485)"> <use xlink:href="#g113-79"></use> </g> <g transform="matrix(.013,0,0,-0.013,69.48,12.485)"> <path d="M378 -385C239 -253 158 0 158 271S238 795 378 927L356 953C165 798 79 550 79 272V271C79 -10 165 -259 356 -411L378 -385Z" id="g119-133"></path> </g> <g transform="matrix(.013,0,0,-0.013,75.26,12.485)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,82.46,15.617)"> <use xlink:href="#g50-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,88.42,12.485)"> <use xlink:href="#g117-33"></use> </g> <g transform="matrix(.013,0,0,-0.013,98.96,12.485)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.013,0,0,-0.013,106.23,12.485)"> <path d="M114 412C81 412 58 388 58 355C58 321 81 297 113 297S169 321 169 355C169 388 145 412 114 412ZM95 130C70 130 46 114 46 88C46 72 54 65 59 64C93 56 121 33 121 -3C121 -41 93 -68 45 -88L56 -118C117 -99 186 -56 186 22C186 91 131 130 95 130Z" id="g113-60"></path> </g> <g transform="matrix(.013,0,0,-0.013,111.37,12.485)"> <use xlink:href="#g113-49"></use> </g> <g transform="matrix(.013,0,0,-0.013,117.61,12.485)"> <use xlink:href="#g113-45"></use> </g> <g transform="matrix(.013,0,0,-0.013,124.93,12.485)"> <path d="M548 455L523 469C505 448 490 439 461 439C416 439 374 447 316 447C144 447 23 310 23 161C23 47 89 -12 179 -12C312 -12 429 106 429 244C429 303 419 344 368 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transform="matrix(.013,0,0,-0.013,0,9.25)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.25)"> <path d="M247 635C117 635 41 518 41 422C41 317 114 239 220 239C239 239 256 244 278 255L348 290C315 139 207 37 63 13L67 -15C93 -15 155 -5 207 17C343 71 443 203 443 385C443 520 371 635 247 635ZM231 602C331 602 355 476 355 390C355 371 354 349 351 325C334 310 298 294 261 294C177 294 128 369 128 457C128 516 155 602 231 602Z" id="g190-193"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.84,9.25)"> <use xlink:href="#g190-42"></use> </g> </g> </svg></span></span>在哪里<我>N</我><span class="inline_break"> <svg height="12.7178pt" id="M26" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 14.729 12.7178" width="14.729pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.498,0)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.013,0,0,-0.013,11.765,0)"> <use xlink:href="#g113-60"></use> </g> </svg><span class="ipunc"></span> <svg height="12.7178pt" style="vertical-align:-3.42947pt" version="1.1" viewbox="16.858183800000003 -9.28833 10.181 12.7178" width="10.181pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,16.908,0)"> <path d="M538 96L524 119C492 88 454 63 446 63C439 63 434 70 440 101C463 223 491 341 518 448H508L433 422L401 276C355 192 240 56 188 56C163 56 154 89 163 133C184 233 207 338 235 443L230 448L152 424L58 17C40 -60 23 -143 23 -185C23 -241 42 -261 63 -261C92 -261 117 -241 125 -227L124 -221C109 -209 89 -165 89 -103C89 -55 96 -13 105 26H107C121 -3 134 -12 151 -12C172 -12 194 -5 221 16C279 61 330 124 384 194H386C381 159 377 141 368 105C343 3 363 -12 383 -12C416 -12 486 35 538 96Z" id="g113-234"></path> </g> <g transform="matrix(.013,0,0,-0.013,24.125,0)"> <use xlink:href="#g113-60"></use> </g> </svg><span class="ipunc"></span> <svg height="12.7178pt" style="vertical-align:-3.42947pt" version="1.1" viewbox="29.218183800000002 -9.28833 12.509 12.7178" width="12.509pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,29.268,0)"> <path d="M570 168L541 175C510 88 481 71 415 71H135L378 358L167 614H348C422 614 447 608 463 588C478 571 488 546 500 500L529 504C524 559 519 633 518 650H47V628L295 324L33 23V0H531L570 168Z" id="g113-147"></path> </g> <g transform="matrix(.013,0,0,-0.013,37.042,0)"> <use xlink:href="#g113-42"></use> </g> </svg></span>是标准正态分布。重点产品取代内核估计和判别函数的表达式<年代pan class="equation_break" id="EEq10"><span class="left_break" id="L27"></span><span class="middle_break"><span class="center_break" id="M27"> <svg height="37.9605pt" id="M27-1" version="1.1" viewbox="0 0 151.125 37.9605" width="151.125pt" xmlns="http://www.w3.org/2000/svg" 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28L17 0H271L277 28C193 35 192 39 208 133L239 316C264 328 280 325 303 288C368 183 435 90 502 0H652L659 28C602 34 584 43 543 94C495 154 403 283 347 369L574 554C634 603 659 612 735 624L743 650Z" id="g113-76"></path> </g> <g transform="matrix(.013,0,0,-0.013,118.43,22.717)"> <use xlink:href="#g119-5"></use> </g> <g transform="matrix(.013,0,0,-0.013,123.45,22.717)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,130.66,25.848)"> <use xlink:href="#g50-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,133.71,22.717)"> <use xlink:href="#g113-45"></use> </g> <g transform="matrix(.013,0,0,-0.013,138.86,22.717)"> <use xlink:href="#g113-121"></use> </g> <g transform="matrix(.013,0,0,-0.013,146.12,22.717)"> <use xlink:href="#g119-6"></use> </g> </g> </svg> <svg height="37.9605pt" id="M27-2" version="1.1" viewbox="0 0 19.594 37.9605" width="19.594pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B27-2"> <g transform="matrix(.013,0,0,-0.013,0,22.717)"> <use xlink:href="#g117-36"></use> </g> <g transform="matrix(.013,0,0,-0.013,10.53,22.717)"> <use xlink:href="#g113-99"></use> </g> <g transform="matrix(.013,0,0,-0.013,16.63,22.717)"> <use xlink:href="#g113-47"></use> </g> </g> </svg> <svg class="alt_equation" height="60.0801pt" id="I27" version="1.1" viewbox="0 0 151.3 60.0801" width="151.3pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 0)" xlink:href="#B27-1"></use> <use transform="matrix(1 0 0 1 44.71 33.4)" xlink:href="#B27-2"></use> </svg></span></span><span class="right_break" id="R27"> <svg class="label" height="11.44pt" id="M27-3" version="1.1" viewbox="0 0 19.728 11.44" width="19.728pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B27-3"> <g transform="matrix(.013,0,0,-0.013,0,9.26)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.49,9.26)"> <use xlink:href="#g190-213"></use> </g> <g transform="matrix(.013,0,0,-0.013,8.82,9.26)"> <path d="M248 635C97 635 43 457 43 311C43 153 97 -12 247 -12S450 166 450 312C450 466 397 635 248 635ZM246 603C337 603 361 452 361 312S337 20 248 20S132 172 132 313C132 452 156 603 246 603Z" id="g190-254"></path> </g> <g transform="matrix(.013,0,0,-0.013,15.23,9.26)"> <use xlink:href="#g190-42"></use> </g> </g> </svg> <svg class="alt_label" height="60.0801pt" id="IL27" version="1.1" viewbox="0 0 19.81 60.0801" width="19.81pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 24.11)" xlink:href="#B27-3"></use> </svg></span></span></p> <p>损失函数<年代pan class="inline_break"> <svg height="7.53742pt" id="M28" style="vertical-align:-1.57651pt" version="1.1" viewbox="-0.0498162 -5.96091 8.425 7.53742" width="8.425pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-247"></use> </g> <g transform="matrix(.013,0,0,-0.013,5.331,0)"> <use xlink:href="#g113-45"></use> </g> </svg><span class="ipunc"></span></span>惩罚参数C和核函数参数<年代vg height="6.34998pt" id="M29" style="vertical-align:-0.2063899pt" version="1.1" viewbox="-0.0498162 -6.14359 7.47218 6.34998" width="7.47218pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-240"></use> </g> </svg>确定支持向量机的性能。的损失函数<年代vg height="6.1673pt" id="M30" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -5.96091 5.44961 6.1673" width="5.44961pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-247"></use> </g> </svg>误差估计函数的期望,这在一定程度上影响支持向量的个数;如果惩罚参数C太小,它将导致underlearning,如果太大,它将导致过度学习;<我>σ</我>核函数的参数,反映了训练集的特征和确定的复杂性的理解。因此,选择参数的选择起着非常重要的作用在分类效率和准确性;在这个研究中,使用改进的PSO算法实现参数优化。</p> <h5 id="sec3.2">3.2。改进的算法</h5> <p>PSO算法源于对鸟类的觅食行为的研究(<a href="#B24">24</a>),该算法首先随机初始化一群粒子,每个粒子的优化问题是一个可行的解决方案,和健身是根据目标函数决定的。粒子在当前最优粒子的方向移动;最优的解决方案是通过一代又一代地搜索。每一代的人口,有两个极端值最优的解决方案<年代vg height="9.8679pt" id="M31" style="vertical-align:-3.74389pt" version="1.1" viewbox="-0.0498162 -6.12401 22.132 9.8679" width="22.132pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <path d="M169 380V459C122 440 66 423 24 416V392C86 384 90 382 90 317V-135C90 -201 81 -207 17 -213V-240H253V-213C176 -207 169 -201 169 -125V6C182 -1 208 -11 238 -12C368 12 487 109 487 260C487 358 421 449 310 449C298 449 279 444 261 433L169 380ZM169 346C196 367 237 389 269 389C341 389 403 329 403 221C403 109 347 37 263 37C228 37 191 53 169 76V346Z" id="g190-113"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,6.838,3.603)"> <path d="M152 404V712C115 698 54 683 7 677V654C71 648 73 642 73 579V24C128 -2 179 -12 220 -12C353 -12 471 92 471 238C471 357 381 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xlink:href="#g50-31"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,8.54,42.925)"> <use xlink:href="#g190-106"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,10.98,42.925)"> <use xlink:href="#g190-101"></use> </g> <g transform="matrix(.013,0,0,-0.013,19.94,39.141)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,31.2,39.141)"> <use xlink:href="#g190-89"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,39.74,42.272)"> <use xlink:href="#g190-106"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,42.17,42.272)"> <use xlink:href="#g190-101"></use> </g> <g transform="matrix(.013,0,0,-0.013,50.41,39.141)"> <use xlink:href="#g117-36"></use> </g> <g transform="matrix(.013,0,0,-0.013,60.95,39.141)"> <use xlink:href="#g190-87"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,70.12,32.877)"> <use xlink:href="#g50-31"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,70.12,42.925)"> <use xlink:href="#g190-106"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,72.56,42.925)"> <use xlink:href="#g190-101"></use> </g> <g transform="matrix(.013,0,0,-0.013,77.89,39.141)"> <use xlink:href="#g113-45"></use> </g> </g> </svg> <svg class="alt_equation" height="112.338pt" id="I33" version="1.1" viewbox="0 0 164.66 112.338" width="164.66pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 -0.53)" xlink:href="#B33-1"></use> <use transform="matrix(1 0 0 1 13.6 20.49)" xlink:href="#B33-2"></use> <use transform="matrix(1 0 0 1 27.79 43.92)" xlink:href="#B33-3"></use> <use transform="matrix(1 0 0 1 27.79 69.23)" xlink:href="#B33-4"></use> <use transform="matrix(1 0 0 1 0 69.23)" xlink:href="#B33-5"></use> </svg></span></span><span class="right_break" id="R33"> <svg class="label" height="11.44pt" id="M33-6" version="1.1" viewbox="0 0 17.788 11.44" width="17.788pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B33-6"> <g transform="matrix(.013,0,0,-0.013,0,9.26)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.26)"> <use xlink:href="#g190-213"></use> </g> <g transform="matrix(.013,0,0,-0.013,8.9,9.26)"> <use xlink:href="#g190-213"></use> </g> <g transform="matrix(.013,0,0,-0.013,13.29,9.26)"> <use xlink:href="#g190-42"></use> </g> </g> </svg> <svg class="alt_label" height="112.338pt" id="IL33" version="1.1" viewbox="0 0 17.86 112.338" width="17.86pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 50.24)" xlink:href="#B33-6"></use> </svg></span></span>在哪里<年代vg height="6.1673pt" id="M34" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -5.96091 8.42472 6.1673" width="8.42472pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-246"></use> </g> </svg>惯性权重,负的,<年代vg height="9.03149pt" id="M35" style="vertical-align:-3.18151pt" version="1.1" viewbox="-0.0498162 -5.84998 10.5657 9.03149" width="10.5657pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,5.52,3.132)"> <use xlink:href="#g50-50"></use> </g> </svg>和<年代vg height="9.03149pt" id="M36" style="vertical-align:-3.18151pt" version="1.1" viewbox="-0.0498162 -5.84998 10.5657 9.03149" width="10.5657pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,5.52,3.132)"> <use xlink:href="#g50-51"></use> </g> </svg>非负常数,<年代vg height="11.7978pt" id="M37" style="vertical-align:-3.27282pt" version="1.1" viewbox="-0.0498162 -8.52498 17.0418 11.7978" width="17.0418pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-87"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,9.173,3.132)"> <use xlink:href="#g190-106"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,11.612,3.132)"> <use xlink:href="#g190-101"></use> </g> </svg>代表的速度<我>我</我>粒子在潜孔尺寸。研究表明,加速度系数应满足<年代pan class="inline_break"> <svg height="12.4698pt" id="M38" style="vertical-align:-3.18147pt" version="1.1" viewbox="-0.0498162 -9.28833 21.003 12.4698" width="21.003pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,5.52,3.132)"> <use xlink:href="#g50-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,13.372,0)"> <use xlink:href="#g117-36"></use> </g> </svg><span class="ibiop"></span> <svg height="12.4698pt" style="vertical-align:-3.18147pt" version="1.1" viewbox="23.858183800000003 -9.28833 21.729 12.4698" width="21.729pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,23.908,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,29.428,3.132)"> <use xlink:href="#g50-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,38.006,0)"> <use xlink:href="#g117-91"></use> </g> </svg><span class="irelop"></span> <svg height="12.4698pt" style="vertical-align:-3.18147pt" version="1.1" viewbox="49.219183799999996 -9.28833 27.515 12.4698" width="27.515pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,49.269,0)"> <path d="M456 178V225H360V632H320C217 496 115 347 20 206V178H280V106C280 40 276 34 189 27V0H445V27C364 34 360 39 360 106V178H456ZM280 225H82C149 335 214 431 278 520H280V225Z" id="g113-53"></path> </g> <g transform="matrix(.013,0,0,-0.013,55.509,0)"> <use xlink:href="#g113-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,60.007,0)"> <use xlink:href="#g113-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,69.153,0)"> <use xlink:href="#g117-36"></use> </g> </svg><span class="ibiop"></span> <svg height="12.4698pt" style="vertical-align:-3.18147pt" version="1.1" viewbox="79.6391838 -9.28833 13.702 12.4698" width="13.702pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,79.689,0)"> <use xlink:href="#g190-120"></use> </g> <g transform="matrix(.013,0,0,-0.013,88.628,0)"> <use xlink:href="#g113-42"></use> </g> </svg></span>(<a href="#B25">25</a>]。Martniez等人提出<年代pan class="inline_break"> <svg height="9.03149pt" id="M39" style="vertical-align:-3.18151pt" version="1.1" viewbox="-0.0498162 -5.84998 21.729 9.03149" width="21.729pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,5.52,3.132)"> <use xlink:href="#g50-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,14.098,0)"> <use xlink:href="#g117-34"></use> </g> </svg><span class="irelop"></span> <svg height="9.03149pt" style="vertical-align:-3.18151pt" version="1.1" viewbox="25.311183800000002 -5.84998 10.594 9.03149" width="10.594pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,25.361,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,30.88,3.132)"> <use xlink:href="#g50-51"></use> </g> </svg></span>可以最大化二阶稳定地区<a href="#B26">26</a>]。此外,等于加速度系数可以给所有最优值相同的重量(全球和地方),以避免算法陷入局部优化。<年代vg height="11.7978pt" id="M40" style="vertical-align:-3.27282pt" version="1.1" viewbox="-0.0498162 -8.52498 15.2149 11.7978" width="15.2149pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-81"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,7.346,3.132)"> <use xlink:href="#g190-106"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,9.785,3.132)"> <use xlink:href="#g190-101"></use> </g> </svg>和<年代vg height="14.0539pt" id="M41" style="vertical-align:-5.52892pt" version="1.1" viewbox="-0.0498162 -8.52498 16.9687 14.0539" width="16.9687pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-81"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,7.346,3.132)"> <use xlink:href="#g190-104"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,11.532,3.132)"> <use xlink:href="#g190-101"></use> </g> </svg>的个人和全局最优值对应的维度。rand()生成之间的随机数<年代pan class="nowrap"> <svg height="11.5564pt" id="M42" style="vertical-align:-2.26807pt" version="1.1" viewbox="-0.0498162 -9.28833 26.8104 11.5564" width="26.8104pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.498,0)"> <use xlink:href="#g113-49"></use> </g> <g transform="matrix(.013,0,0,-0.013,10.738,0)"> <use xlink:href="#g113-45"></use> </g> <g transform="matrix(.013,0,0,-0.013,15.881,0)"> <use xlink:href="#g113-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,22.121,0)"> <use xlink:href="#g113-42"></use> </g> </svg>。</年代pan></p> <h6 id="sec3.2.1">3.2.1之上。改进惯性权重</h6> <p>调整惯性权重可以分为四类:常数(<a href="#B23">23</a>],随机数[<a href="#B27">27</a>)、时变和自适应惯性权重。在初始阶段,步长较大和大惯性权重<年代vg height="6.1673pt" id="M43" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -5.96091 10.6 6.1673" width="10.6pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-246"></use> </g> </svg>是必需的。中后期阶段需要地方发展能力强,要求小<我>ω</我>。提高优化效率和避免陷入局部最优,本文构造一个惯性减少的策略,逐渐减少的价值<我>ω</我>在迭代过程中,介绍了向量<我>h</我>与<我>K</我>元素(K是一个常数),并获得以下算法,<我>k</我>当前迭代的模量是几号<我>t</我>对K;<年代pan class="nowrap"> <svg height="11.5564pt" id="M44" style="vertical-align:-2.26807pt" version="1.1" viewbox="-0.0498162 -9.28833 23.6096 11.5564" width="23.6096pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-246"></use> </g> <g transform="matrix(.013,0,0,-0.013,10.47,0)"> <use xlink:href="#g113-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,14.968,0)"> <use xlink:href="#g190-117"></use> </g> <g transform="matrix(.013,0,0,-0.013,18.948,0)"> <use xlink:href="#g113-42"></use> </g> </svg>,</年代pan><span class="inline_break"> <svg height="12.5807pt" id="M45" style="vertical-align:-3.272799pt" version="1.1" viewbox="-0.0498162 -9.3079 30.273 12.5807" width="30.273pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-246"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,10.47,3.132)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,13.764,3.132)"> <use xlink:href="#g190-117"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,16.595,3.132)"> <use xlink:href="#g190-98"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,20.507,3.132)"> <use xlink:href="#g190-115"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,23.975,3.132)"> <use xlink:href="#g190-117"></use> </g> <g transform="matrix(.013,0,0,-0.013,27.309,0)"> <use xlink:href="#g113-45"></use> </g> </svg><span class="ipunc"></span> <svg height="12.5807pt" style="vertical-align:-3.272799pt" version="1.1" viewbox="34.5781838 -9.3079 46.565 12.5807" width="46.565pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,34.628,0)"> <use xlink:href="#g190-98"></use> </g> <g transform="matrix(.013,0,0,-0.013,40.217,0)"> <use xlink:href="#g190-111"></use> </g> <g transform="matrix(.013,0,0,-0.013,47.276,0)"> <use xlink:href="#g190-101"></use> </g> <g transform="matrix(.013,0,0,-0.013,56.389,0)"> <use xlink:href="#g113-246"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,66.86,3.132)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,70.727,3.132)"> <use xlink:href="#g190-111"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,75.668,3.132)"> <use xlink:href="#g190-101"></use> </g> </svg></span>当前,开始,停止惯性权重。当粒子的最优位置接近对方,<年代vg height="11.5564pt" id="M46" style="vertical-align:-2.26807pt" version="1.1" viewbox="-0.0498162 -9.28833 23.6096 11.5564" width="23.6096pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-246"></use> </g> <g transform="matrix(.013,0,0,-0.013,10.47,0)"> <use 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transform="matrix(.013,0,0,-0.013,40.028,0)"> <use xlink:href="#g113-42"></use> </g> <g transform="matrix(.013,0,0,-0.013,44.526,0)"> <use xlink:href="#g113-48"></use> </g> </svg><span class="isep"></span> <svg height="11.5564pt" style="vertical-align:-2.26807pt" version="1.1" viewbox="49.8371838 -9.28833 37.512 11.5564" width="37.512pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,49.887,0)"> <use xlink:href="#g190-79"></use> </g> <g transform="matrix(.013,0,0,-0.013,63.214,0)"> <use xlink:href="#g117-173"></use> </g> <g transform="matrix(.013,0,0,-0.013,73.71,0)"> <use xlink:href="#g113-92"></use> </g> <g transform="matrix(.013,0,0,-0.013,78.195,0)"> <use xlink:href="#g113-49"></use> </g> <g transform="matrix(.013,0,0,-0.013,84.435,0)"> <use xlink:href="#g113-45"></use> </g> </svg><span class="ipunc"></span><span class="nowrap"> <svg height="11.5564pt" style="vertical-align:-2.26807pt" version="1.1" viewbox="91.70418380000001 -9.28833 11.049 11.5564" width="11.049pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,91.754,0)"> <use xlink:href="#g113-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,97.994,0)"> <use xlink:href="#g113-94"></use> </g> </svg>,</年代pan></span>N是人口规模和S (t)是最好的位置的人<我>t</我>时间。</p> <p>根据经验,的值范围<我>ω</我>是<年代pan class="inline_break"> <svg height="11.439pt" id="M50" style="vertical-align:-2.15067pt" version="1.1" viewbox="-0.0498162 -9.28833 22.893 11.439" width="22.893pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-92"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.485,0)"> <use xlink:href="#g113-49"></use> </g> <g transform="matrix(.013,0,0,-0.013,10.725,0)"> <use xlink:href="#g113-47"></use> </g> <g transform="matrix(.013,0,0,-0.013,13.689,0)"> <use xlink:href="#g113-53"></use> </g> <g transform="matrix(.013,0,0,-0.013,19.929,0)"> <use xlink:href="#g113-45"></use> </g> </svg><span class="ipunc"></span> <svg height="11.439pt" style="vertical-align:-2.15067pt" version="1.1" viewbox="27.198183800000002 -9.28833 20.188 11.439" width="20.188pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,27.248,0)"> <use xlink:href="#g113-49"></use> </g> <g transform="matrix(.013,0,0,-0.013,33.488,0)"> <use xlink:href="#g113-47"></use> </g> <g transform="matrix(.013,0,0,-0.013,36.452,0)"> <path d="M244 635C114 635 38 519 38 422C38 317 111 240 217 240C236 240 255 244 277 256L345 292C311 140 203 39 59 15L64 -15C89 -15 150 -5 204 17C339 72 440 202 440 386C440 521 368 635 244 635ZM228 602C326 602 352 479 352 390C352 370 351 347 348 324C327 308 293 296 258 296C174 296 124 369 124 458C124 517 152 602 228 602Z" id="g113-58"></path> </g> <g transform="matrix(.013,0,0,-0.013,42.693,0)"> <use xlink:href="#g113-94"></use> </g> </svg></span>(<a href="#B28">28</a>]。在这项研究中,<年代vg height="9.23375pt" id="M51" style="vertical-align:-3.27284pt" version="1.1" viewbox="-0.0498162 -5.96091 27.4389 9.23375" width="27.4389pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-246"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,10.47,3.132)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,13.764,3.132)"> <use xlink:href="#g190-117"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,16.595,3.132)"> <use xlink:href="#g190-98"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,20.507,3.132)"> <use xlink:href="#g190-115"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,23.975,3.132)"> <use xlink:href="#g190-117"></use> </g> </svg>= 0.9,<年代vg height="9.23375pt" id="M52" style="vertical-align:-3.27284pt" version="1.1" viewbox="-0.0498162 -5.96091 24.7627 9.23375" width="24.7627pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-246"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,10.47,3.132)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,14.338,3.132)"> <use xlink:href="#g190-111"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,19.279,3.132)"> <use xlink:href="#g190-101"></use> </g> </svg>= 0.4,<年代pan class="inline_break"> <svg height="11.5303pt" id="M53" style="vertical-align:-3.18148pt" version="1.1" viewbox="-0.0498162 -8.34882 43.487 11.5303" width="43.487pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,5.52,3.132)"> <use xlink:href="#g50-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,10.466,0)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,21.729,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,27.277,3.132)"> <use xlink:href="#g50-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,35.856,0)"> <use xlink:href="#g117-34"></use> </g> </svg><span class="irelop"></span><span class="nowrap"> <svg height="11.5303pt" style="vertical-align:-3.18148pt" version="1.1" viewbox="47.0681838 -8.34882 15.63 11.5303" width="15.63pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,47.118,0)"> <use xlink:href="#g113-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,53.358,0)"> <use xlink:href="#g113-47"></use> </g> <g transform="matrix(.013,0,0,-0.013,56.322,0)"> <use xlink:href="#g113-54"></use> </g> </svg>,</年代pan></span>人口规模是30,和最大迭代数是1000,K是100,和粒子尺寸是30。评估算法的结果,计算函数值设置的最大数量<年代vg height="11.8343pt" id="M54" style="vertical-align:-3.30932pt" version="1.1" viewbox="-0.0498162 -8.52498 19.2418 11.8343" width="19.2418pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <path d="M493 503C489 551 484 614 483 650H43V622C120 616 128 611 128 525V126C128 40 120 34 40 28V0H312V28C221 34 213 40 213 126V307H316C407 307 412 296 424 227H453V420H424C412 355 407 346 316 346H213V584C213 613 216 616 246 616H322C398 616 419 607 436 579C449 559 455 539 464 499L493 503Z" id="g190-71"></path> </g> <g transform="matrix(.013,0,0,-0.013,6.877,0)"> <path d="M517 162C503 123 484 88 467 68C445 42 417 34 341 34C291 34 256 34 237 47C219 59 213 81 213 128V317H308C395 317 402 311 415 240H444V431H415C403 364 398 356 307 356H213V584C213 613 215 616 246 616H322C394 616 421 609 435 587C448 566 458 544 467 502L496 506C493 557 488 625 488 650H42V622C120 616 128 612 128 523V125C128 43 120 35 29 28V0H511C520 31 540 125 546 158L517 162Z" id="g190-70"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,14.314,3.132)"> <use xlink:href="#g190-84"></use> </g> </svg>(<a href="#B29">29日</a>]:<年代pan class="equation_break" id="EEq13"><span class="left_break" id="L55"></span><span class="middle_break"><span class="center_break" id="M55"> <svg height="26.5756pt" id="M55-1" version="1.1" viewbox="0 0 167.904 26.5756" width="167.904pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B55-1"> <g transform="matrix(.013,0,0,-0.013,0,17.144)"> <path d="M584 650H137L131 622C214 614 217 612 200 521L125 127C109 41 101 35 23 28L17 0H288L294 28C201 35 193 42 209 128L242 309H348C440 309 442 300 443 226H471L510 422H482C452 354 449 348 357 348H251L295 575C302 609 304 615 338 615H426C502 615 517 604 526 581C534 560 536 524 537 492L565 494C574 554 583 631 584 650Z" id="g113-71"></path> </g> <g transform="matrix(.013,0,0,-0.013,7.37,17.144)"> <path d="M593 650H142L136 622C219 616 224 611 209 531L130 120C114 39 108 34 23 28L17 0H501C518 32 557 130 568 158L540 169C519 132 495 93 469 70C439 43 409 35 332 35C272 35 241 37 225 50C211 61 211 89 222 149L253 320H350C441 320 443 312 441 239H471L510 434H481C455 366 448 358 360 358H260L303 572C311 613 312 615 348 615H431C509 615 522 603 532 581C544 555 546 531 545 491L574 493C583 555 592 631 593 650Z" id="g113-70"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,15.31,20.275)"> <path d="M463 633C453 636 427 644 417 648C388 660 349 667 316 667C183 667 100 592 100 483C100 398 176 335 223 305L259 282C321 242 358 203 358 149C358 66 301 22 234 22C110 22 70 131 57 208L24 205L28 48C51 23 128 -17 215 -17C342 -17 446 60 446 174C446 262 394 310 317 361L284 383C229 420 183 455 183 515C183 569 222 628 298 628C384 628 418 563 428 481L461 487C459 527 458 593 463 633Z" id="g50-84"></path> </g> <g transform="matrix(.013,0,0,-0.013,23.81,17.144)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,35.07,17.144)"> <use xlink:href="#g113-79"></use> </g> <g transform="matrix(.013,0,0,-0.013,48.89,17.144)"> <use xlink:href="#g117-42"></use> </g> <g transform="matrix(.013,0,0,-0.013,59.42,17.144)"> <path d="M620 675H597C578 656 570 650 541 650H144C112 650 104 653 94 675H72C59 618 42 552 23 493L53 491C71 534 88 564 105 585C124 608 144 615 238 615H290L197 121C182 40 174 34 88 28L82 0H361L367 28C275 34 266 38 281 121L374 615H441C522 615 543 608 553 583C562 560 566 531 565 493L597 494C603 551 612 629 620 675Z" id="g113-85"></path> </g> <g transform="matrix(.013,0,0,-0.013,71.34,17.144)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,82.6,17.144)"> <use xlink:href="#g113-79"></use> </g> <g transform="matrix(.013,0,0,-0.013,96.42,17.144)"> <use xlink:href="#g117-42"></use> </g> <g transform="matrix(.013,0,0,-0.013,106.95,17.144)"> <use xlink:href="#g113-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,113.19,17.144)"> <use xlink:href="#g113-49"></use> </g> <g transform="matrix(.013,0,0,-0.013,119.43,17.144)"> <use xlink:href="#g113-49"></use> </g> <g transform="matrix(.013,0,0,-0.013,125.67,17.144)"> <use xlink:href="#g113-49"></use> </g> <g transform="matrix(.013,0,0,-0.013,131.91,17.144)"> <use xlink:href="#g113-49"></use> </g> <g transform="matrix(.013,0,0,-0.013,141.06,17.144)"> <use xlink:href="#g117-42"></use> </g> <g transform="matrix(.013,0,0,-0.013,153.27,8.636)"> <use xlink:href="#g113-69"></use> </g> <rect height="0.65243" width="10.9479" x="152.79" y="13.49"></rect> <g transform="matrix(.013,0,0,-0.013,152.79,26.369)"> <use xlink:href="#g113-79"></use> </g> <g transform="matrix(.013,0,0,-0.013,164.94,17.144)"> <use xlink:href="#g113-47"></use> </g> </g> </svg> <svg class="alt_equation" height="26.5756pt" id="I55" version="1.1" viewbox="0 0 167.9 26.5756" width="167.9pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 0)" xlink:href="#B55-1"></use> </svg></span></span><span class="right_break" id="R55"> <svg class="label" height="11.44pt" id="M55-2" version="1.1" viewbox="0 0 19.258 11.44" width="19.258pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B55-2"> <g transform="matrix(.013,0,0,-0.013,0,9.25)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.49,9.25)"> <use xlink:href="#g190-213"></use> </g> <g transform="matrix(.013,0,0,-0.013,8.89,9.25)"> <use xlink:href="#g190-232"></use> </g> <g transform="matrix(.013,0,0,-0.013,14.76,9.25)"> <use xlink:href="#g190-42"></use> </g> </g> </svg> <svg class="alt_label" height="26.5756pt" id="IL55" version="1.1" viewbox="0 0 19.34 26.5756" width="19.34pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 7.36)" xlink:href="#B55-2"></use> </svg></span></span></p> <p>我们添加了传统RNN模型和CNN模型模拟实验的完整的比较和实验;表<a href="//www.newsama.com/journals/sp/2022/3330196/tab2/" target="_blank">2</a>显示了所有列出的算法实验结果。</p> <div class="floats-partial-section partial-other-wrapper" data-section="tab2"> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">表2</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/tab2/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> 每个算法的运行结果(<我>D</我>= 30)。</div> <a class="table-thumb-overlay" href="//www.newsama.com/journals/sp/2022/3330196/tab2" target="_blank" aria-label="View full page"></a> </div> </div> <p>在表<a href="//www.newsama.com/journals/sp/2022/3330196/tab2/" target="_blank">2</a>,<年代pan class="nowrap"> <svg height="12.7178pt" id="M103" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 11.7923 12.7178" width="11.7923pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-103"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.721,3.132)"> <use xlink:href="#g50-50"></use> </g> </svg>,</年代pan><span class="nowrap"> <svg height="12.7178pt" id="M104" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 11.7923 12.7178" width="11.7923pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-103"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.721,3.132)"> <use xlink:href="#g50-51"></use> </g> </svg>,</年代pan><span class="nowrap"> <svg height="12.7178pt" id="M105" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 11.7923 12.7178" width="11.7923pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-103"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.721,3.132)"> <path d="M290 377C321 398 342 415 358 430C378 450 389 473 389 502C389 578 329 635 238 635H237C184 635 137 610 109 578L64 515L88 493C112 529 154 573 208 573S303 542 303 482C303 409 233 370 141 341L149 308C165 313 190 319 215 319C272 319 341 283 341 193C342 98 292 43 222 43C163 43 122 72 96 94C88 101 79 100 70 94C61 87 47 73 46 60C44 47 48 37 62 23C76 10 118 -12 165 -12C238 -12 430 62 430 223C430 297 379 359 290 375V377Z" id="g50-52"></path> </g> </svg>,</年代pan>和<年代vg height="12.7178pt" id="M106" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 11.7923 12.7178" width="11.7923pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g113-103"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.721,3.132)"> <path d="M462 177V227H365V632H320C217 496 116 350 21 208V177H284V109C284 43 280 38 190 31V0H451V31C369 38 365 43 365 108V177H462ZM284 227H88C155 336 218 430 282 519H284V227Z" id="g50-53"></path> </g> </svg>测试函数的球体,Schewefel Rastrigin,和表吗?<a href="//www.newsama.com/journals/sp/2022/3330196/tab2/" target="_blank">2</a>,分别。均值和SD,分别代表运行后获得的平均值和标准偏差函数。根据表<a href="//www.newsama.com/journals/sp/2022/3330196/tab2/" target="_blank">2</a>和数字<a href="//www.newsama.com/journals/sp/2022/3330196/fig2/" target="_blank">2</a>- - - - - -<a href="//www.newsama.com/journals/sp/2022/3330196/fig5/" target="_blank">5</a>,可以发现,改进的算法能够快速收敛,在上面的四个测试函数和优于其他最优值的收敛。</p> <div class="partial-carousel-wrapper"> <div class="floats-partial-section"> <div class="floats-partial-content"> <div class="partial-carousel--full-image partial-carousel-f432f6608bde7e1f57dd2b8f025f86d0"> <div class="partial-carousel--single-image"> <img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/figures/3330196.fig.002.jpg"> <br> <strong></strong> </div> </div> </div> <div class="floats-partial-middle"> <div class="floats-partial-middle--thumbs"> <div class="partial-carousel-dots-f432f6608bde7e1f57dd2b8f025f86d0 partial-carousel-thumbnail"> <button aria-label="Slide to " class="partial-carousel-dot"><img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/thumbnails/3330196.fig.002_th.jpg"><br><strong></strong></button> </div> </div> <div class="floats-partial-middle--nav"> <div class="partial-carousel-next-prev-f432f6608bde7e1f57dd2b8f025f86d0 partial-carousel-next-prev"> <button aria-label="Previous" class="carousel-prev"></button> <button aria-label="Next" class="carousel-next"></button> </div> </div> </div> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">图2</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/fig2/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> 测试结果单峰值函数:球体。</div> </div> </div> </div> <div class="partial-carousel-wrapper"> <div class="floats-partial-section"> <div class="floats-partial-content"> <div class="partial-carousel--full-image partial-carousel-136b5f69ce192e4f762a1781ab0ca982"> <div class="partial-carousel--single-image"> <img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/figures/3330196.fig.003.jpg"> <br> <strong></strong> </div> </div> </div> <div class="floats-partial-middle"> <div class="floats-partial-middle--thumbs"> <div class="partial-carousel-dots-136b5f69ce192e4f762a1781ab0ca982 partial-carousel-thumbnail"> <button aria-label="Slide to " class="partial-carousel-dot"><img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/thumbnails/3330196.fig.003_th.jpg"><br><strong></strong></button> </div> </div> <div class="floats-partial-middle--nav"> <div class="partial-carousel-next-prev-136b5f69ce192e4f762a1781ab0ca982 partial-carousel-next-prev"> <button aria-label="Previous" class="carousel-prev"></button> <button aria-label="Next" class="carousel-next"></button> </div> </div> </div> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">图3</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/fig3/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> 测试结果为单峰值函数:Schewefel。</div> </div> </div> </div> <div class="partial-carousel-wrapper"> <div class="floats-partial-section"> <div class="floats-partial-content"> <div class="partial-carousel--full-image partial-carousel-b55fa95ba7d4be317b372e5c4d44bb84"> <div class="partial-carousel--single-image"> <img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/figures/3330196.fig.004.jpg"> <br> <strong></strong> </div> </div> </div> <div class="floats-partial-middle"> <div class="floats-partial-middle--thumbs"> <div class="partial-carousel-dots-b55fa95ba7d4be317b372e5c4d44bb84 partial-carousel-thumbnail"> <button aria-label="Slide to " class="partial-carousel-dot"><img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/thumbnails/3330196.fig.004_th.jpg"><br><strong></strong></button> </div> </div> <div class="floats-partial-middle--nav"> <div class="partial-carousel-next-prev-b55fa95ba7d4be317b372e5c4d44bb84 partial-carousel-next-prev"> <button aria-label="Previous" class="carousel-prev"></button> <button aria-label="Next" class="carousel-next"></button> </div> </div> </div> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">图4</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/fig4/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> 多峰函数测试结果:Rastrigin。</div> </div> </div> </div> <div class="partial-carousel-wrapper"> <div class="floats-partial-section"> <div class="floats-partial-content"> <div class="partial-carousel--full-image partial-carousel-4eabc01d98e03d6b68a71427e2f070cf"> <div class="partial-carousel--single-image"> <img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/figures/3330196.fig.005.jpg"> <br> <strong></strong> </div> </div> </div> <div class="floats-partial-middle"> <div class="floats-partial-middle--thumbs"> <div class="partial-carousel-dots-4eabc01d98e03d6b68a71427e2f070cf partial-carousel-thumbnail"> <button aria-label="Slide to " class="partial-carousel-dot"><img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/thumbnails/3330196.fig.005_th.jpg"><br><strong></strong></button> </div> </div> <div class="floats-partial-middle--nav"> <div class="partial-carousel-next-prev-4eabc01d98e03d6b68a71427e2f070cf partial-carousel-next-prev"> <button aria-label="Previous" class="carousel-prev"></button> <button aria-label="Next" class="carousel-next"></button> </div> </div> </div> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">图5</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/fig5/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> 多峰函数测试结果:Rosenborck。</div> </div> </div> </div> <p>数据<a href="//www.newsama.com/journals/sp/2022/3330196/fig2/" target="_blank">2</a>- - - - - -<a href="//www.newsama.com/journals/sp/2022/3330196/fig5/" target="_blank">5</a>表明,在四个评价函数,W-GA-PSO算法提出了研究最快的收敛速度,最小的错误,和性能最高,其次是皮犬算法,略有不如我们提出的模型。AIPSO算法排名第三,和PSO算法最糟糕的表现,表现不佳的评估指标。实验证明,提出的模型我们可以快速、准确地帮助情感分类模型来优化参数,实现良好的分类效果。</p> <h4 id="proposed-model">4所示。提出的模型</h4> <p>本研究结合PSO全局优化的特点和支持向量机快速分类,提出了优化的支持向量机模型改进算法实现情感分类。具体实现步骤如下。<年代pan class="list"><span class="list-item"><span class="list-label">(1)</年代pan><span class="list-content">抓取网页的评论信息和预处理文本</年代pan></span><span class="list-item"><span class="list-label">(2)</年代pan><span class="list-content">评论的数据分为训练集和测试集与相应的积极的和消极的标签。</年代pan></span><span class="list-item"><span class="list-label">(3)</年代pan><span class="list-content">搜狗新闻语料库训练Word2vec Skip_gram模型;接下来,word2vec向量的每个单词<年代vg height="12.5807pt" id="M107" style="vertical-align:-3.272799pt" version="1.1" viewbox="-0.0498162 -9.3079 14.2741 12.5807" width="14.2741pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-101"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.89,3.132)"> <use xlink:href="#g190-79"></use> </g> </svg>计算的训练模式。</年代pan></span><span class="list-item"><span class="list-label">(4)</年代pan><span class="list-content">火车TFIDF模型根据货物审查数据的实验,并获得TFIDF体重<年代vg height="14.5902pt" id="M108" style="vertical-align:-5.2823pt" version="1.1" viewbox="-0.0498162 -9.3079 30.3133 14.5902" width="30.3133pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-117"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.03,0)"> <path d="M517 0V26C453 32 447 37 447 100V450C395 439 339 437 259 437H180V471C180 551 194 602 213 628C225 647 246 664 275 664C322 664 356 632 379 605C387 596 396 596 408 604C417 609 425 619 430 628C434 639 434 651 425 664C414 680 379 710 319 712C281 708 235 690 194 658C140 614 120 563 112 538C106 517 101 491 101 460V437H53L25 408L29 397H101V100C101 38 93 33 30 26V0H250V26C187 32 180 38 180 100V397H316C365 397 368 390 368 345V100C368 37 361 31 305 26V0H517Z" id="g190-158"></path> </g> <g transform="matrix(.013,0,0,-0.013,10.985,0)"> <use xlink:href="#g190-101"></use> </g> <g transform="matrix(.013,0,0,-0.013,17.849,0)"> <use xlink:href="#g190-103"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,21.778,3.132)"> <use xlink:href="#g50-246"></use> </g> <g transform="matrix(.0065,0,0,-0.0065,27.448,5.233)"> <use xlink:href="#g190-106"></use> </g> </svg>每个单词的货物检查。</年代pan></span><span class="list-item"><span class="list-label">(5)</年代pan><span class="list-content">这个词向量的每个产品审核是通过方程(<a href="#EEq1">1</a>),这是作为支持向量机的输入。</年代pan></span><span class="list-item"><span class="list-label">(6)</年代pan><span class="list-content">初始化损失函数<我>ε</我>、惩罚参数C和核函数参数<我>年代</我>支持向量机,把向量(<我>ε</我>,<我>c</我>,<我>σ</我>)作为一个粒子,定义<年代pan class="inline_break"> <svg height="11.5303pt" id="M109" style="vertical-align:-3.18148pt" version="1.1" viewbox="-0.0498162 -8.34882 21.729 11.5303" width="21.729pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,5.52,3.132)"> <use xlink:href="#g50-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,14.098,0)"> <use xlink:href="#g117-34"></use> </g> </svg><span class="irelop"></span> <svg height="11.5303pt" style="vertical-align:-3.18148pt" version="1.1" viewbox="25.311183800000002 -8.34882 21.729 11.5303" width="21.729pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,25.361,0)"> <use xlink:href="#g190-100"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,30.88,3.132)"> <use xlink:href="#g50-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,39.459,0)"> <use xlink:href="#g117-34"></use> </g> </svg><span class="irelop"></span> <svg height="11.5303pt" style="vertical-align:-3.18148pt" version="1.1" viewbox="50.6721838 -8.34882 6.42 11.5303" width="6.42pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,50.722,0)"> <use xlink:href="#g113-51"></use> </g> </svg></span>根据经验,使用公式(<a href="#EEq10">10</a>)和(<a href="#EEq12">12</a>)来生成<年代pan class="nowrap"> <svg height="9.03149pt" id="M110" style="vertical-align:-3.18151pt" version="1.1" viewbox="-0.0498162 -5.84998 9.88715 9.03149" width="9.88715pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-115"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,4.841,3.132)"> <use xlink:href="#g50-50"></use> </g> </svg>,</年代pan><span class="nowrap"> <svg height="9.03149pt" id="M111" style="vertical-align:-3.18151pt" version="1.1" viewbox="-0.0498162 -5.84998 9.88715 9.03149" width="9.88715pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-115"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,4.841,3.132)"> <use xlink:href="#g50-51"></use> </g> </svg>,</年代pan>和<我>ω</我>。</年代pan></span><span class="list-item"><span class="list-label">(7)</年代pan><span class="list-content">定义适应度函数:<年代pan class="equation_break" id="EEq14"><span class="left_break" id="L112"></span><span class="middle_break"><span class="center_break" id="M112"> <svg height="35.2614pt" id="M112-1" version="1.1" viewbox="0 0 123.184 35.2614" width="123.184pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B112-1"> <g transform="matrix(.013,0,0,-0.013,0,20.31)"> <use xlink:href="#g190-71"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.91,23.442)"> <use xlink:href="#g190-158"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,11.66,23.442)"> <use xlink:href="#g190-117"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,14.49,23.442)"> <use xlink:href="#g190-111"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,19.43,23.442)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,23.29,23.442)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,26.59,23.442)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.013,0,0,-0.013,34.14,20.31)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,48.81,11.802)"> <use xlink:href="#g113-50"></use> </g> <rect height="0.65243" width="10.6869" x="46.6" y="16.656"></rect> <g transform="matrix(.013,0,0,-0.013,46.6,29.535)"> <use xlink:href="#g190-110"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,61.33,5.545)"> <use xlink:href="#g190-110"></use> </g> <g transform="matrix(.013,0,0,-0.013,58.49,20.316)"> <use xlink:href="#g119-73"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,58.83,33.776)"> <use xlink:href="#g190-106"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,61.28,33.776)"> <use xlink:href="#g54-34"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,66.84,33.776)"> <use xlink:href="#g50-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,73.83,20.31)"> <use xlink:href="#g119-5"></use> </g> <g transform="matrix(.013,0,0,-0.013,78.85,20.31)"> <use xlink:href="#g190-103"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,82.72,23.442)"> <use xlink:href="#g190-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,88.57,20.31)"> <use xlink:href="#g117-33"></use> </g> <g transform="matrix(.013,0,0,-0.013,99.1,20.31)"> <path d="M478 437H297V411C355 404 361 392 349 355C329 292 285 174 257 106L167 356C153 394 158 404 205 411L204 437H2V411C57 404 66 391 88 336C117 265 162 144 202 30C208 13 209 0 204 -15C199 -28 191 -49 173 -84C149 -128 130 -153 98 -172C81 -184 73 -193 73 -209C73 -233 101 -257 129 -257C143 -257 156 -252 161 -232C175 -179 197 -122 264 38C333 203 364 286 390 339C417 395 425 403 478 411V437Z" id="g190-122"></path> </g> <g transform="matrix(.0091,0,0,-0.0091,105.09,24.148)"> <use xlink:href="#g190-106"></use> </g> <g transform="matrix(.013,0,0,-0.013,108.04,20.31)"> <use xlink:href="#g119-6"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,113.09,13.009)"> <use xlink:href="#g50-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,120.22,20.31)"> <use xlink:href="#g113-45"></use> </g> </g> </svg> <svg class="alt_equation" height="35.2614pt" id="I112" version="1.1" viewbox="0 0 123.18 35.2614" width="123.18pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 0)" xlink:href="#B112-1"></use> </svg></span></span><span class="right_break" id="R112"> <svg class="label" height="11.44pt" id="M112-2" version="1.1" viewbox="0 0 19.638 11.44" width="19.638pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B112-2"> <g transform="matrix(.013,0,0,-0.013,0,9.26)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.26)"> <use xlink:href="#g190-213"></use> </g> <g transform="matrix(.013,0,0,-0.013,8.68,9.26)"> <use xlink:href="#g190-166"></use> </g> <g transform="matrix(.013,0,0,-0.013,15.14,9.26)"> <use xlink:href="#g190-42"></use> </g> </g> </svg> <svg class="alt_label" height="35.2614pt" id="IL112" version="1.1" viewbox="0 0 19.72 35.2614" width="19.72pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <use transform="matrix(1 0 0 1 0 11.7)" xlink:href="#B112-2"></use> </svg></span></span></span></span><span class="list-item"><span class="list-label"></span><span class="list-content">在哪里<年代pan class="nowrap"> <svg height="12.4894pt" id="M113" style="vertical-align:-3.181499pt" version="1.1" viewbox="-0.0498162 -9.3079 6.90812 12.4894" width="6.90812pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-103"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,3.862,3.132)"> <use xlink:href="#g190-106"></use> </g> </svg>,</年代pan><span class="nowrap"> <svg height="9.73743pt" id="M114" style="vertical-align:-3.88745pt" version="1.1" viewbox="-0.0498162 -5.84998 9.03506 9.73743" width="9.03506pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-122"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,5.989,3.838)"> <use xlink:href="#g190-106"></use> </g> </svg>,</年代pan>和<我>米</我>代表的预测价值,实际值,分别和样本的数量。</年代pan></span><span class="list-item"><span class="list-label">(8)</年代pan><span class="list-content">计算每个粒子的健身价值根据适应度函数,如果当前健身价值小于先前的健身价值,原件<年代vg height="11.7978pt" id="M115" style="vertical-align:-3.27282pt" version="1.1" viewbox="-0.0498162 -8.52498 22.6409 11.7978" width="22.6409pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-81"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,7.346,3.132)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,12.051,3.132)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,15.919,3.132)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,19.213,3.132)"> <use xlink:href="#g190-117"></use> </g> </svg>被替换;否则,它保持不变。</年代pan></span><span class="list-item"><span class="list-label">(9)</年代pan><span class="list-content">以最小的<年代vg height="9.8679pt" id="M116" style="vertical-align:-3.74389pt" version="1.1" viewbox="-0.0498162 -6.12401 22.132 9.8679" width="22.132pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.838,3.603)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,11.542,3.603)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,15.41,3.603)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,18.704,3.603)"> <use xlink:href="#g190-117"></use> </g> </svg>并比较其与<年代pan class="nowrap"> <svg height="9.82876pt" id="M117" style="vertical-align:-3.97878pt" version="1.1" viewbox="-0.0498162 -5.84998 21.4013 9.82876" width="21.4013pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-104"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.107,3.838)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,10.812,3.838)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,14.679,3.838)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,17.973,3.838)"> <use xlink:href="#g190-117"></use> </g> </svg>;</年代pan>如果<年代vg height="9.8679pt" id="M118" style="vertical-align:-3.74389pt" version="1.1" viewbox="-0.0498162 -6.12401 22.132 9.8679" width="22.132pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.838,3.603)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,11.542,3.603)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,15.41,3.603)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,18.704,3.603)"> <use xlink:href="#g190-117"></use> </g> </svg><<年代pan class="nowrap"> <svg height="9.82876pt" id="M119" style="vertical-align:-3.97878pt" version="1.1" viewbox="-0.0498162 -5.84998 21.4013 9.82876" width="21.4013pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-104"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.107,3.838)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,10.812,3.838)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,14.679,3.838)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,17.973,3.838)"> <use xlink:href="#g190-117"></use> </g> </svg>,</年代pan>取代<年代vg height="9.82876pt" id="M120" style="vertical-align:-3.97878pt" version="1.1" viewbox="-0.0498162 -5.84998 21.4013 9.82876" width="21.4013pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-104"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.107,3.838)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,10.812,3.838)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,14.679,3.838)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,17.973,3.838)"> <use xlink:href="#g190-117"></use> </g> </svg>与<年代pan class="nowrap"> <svg height="9.8679pt" id="M121" style="vertical-align:-3.74389pt" version="1.1" viewbox="-0.0498162 -6.12401 22.132 9.8679" width="22.132pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.838,3.603)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,11.542,3.603)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,15.41,3.603)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,18.704,3.603)"> <use xlink:href="#g190-117"></use> </g> </svg>;</年代pan>否则,保留<年代pan class="nowrap"> <svg height="9.82876pt" id="M122" style="vertical-align:-3.97878pt" version="1.1" viewbox="-0.0498162 -5.84998 21.4013 9.82876" width="21.4013pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-104"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.107,3.838)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,10.812,3.838)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,14.679,3.838)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,17.973,3.838)"> <use xlink:href="#g190-117"></use> </g> </svg>。</年代pan></span></span><span class="list-item"><span class="list-label">(10)</年代pan><span class="list-content">牛交叉算子的GA算法用于产生新的粒子,和自适应值计算,重复步骤(8)和(9)更新<年代vg height="9.82876pt" id="M123" style="vertical-align:-3.97878pt" version="1.1" viewbox="-0.0498162 -5.84998 21.4013 9.82876" width="21.4013pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-104"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.107,3.838)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,10.812,3.838)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,14.679,3.838)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,17.973,3.838)"> <use xlink:href="#g190-117"></use> </g> </svg>和<年代pan class="nowrap"> <svg height="9.8679pt" id="M124" style="vertical-align:-3.74389pt" version="1.1" viewbox="-0.0498162 -6.12401 22.132 9.8679" width="22.132pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.838,3.603)"> <use xlink:href="#g190-99"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,11.542,3.603)"> <use xlink:href="#g190-102"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,15.41,3.603)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,18.704,3.603)"> <use xlink:href="#g190-117"></use> </g> </svg>。</年代pan></span></span><span class="list-item"><span class="list-label">(11)</年代pan><span class="list-content">判断是否到达最大迭代次数;如果是这样,继续下一步;否则,增加迭代次数,跳到步骤(6)。</年代pan></span><span class="list-item"><span class="list-label">(12)</年代pan><span class="list-content">根据构造的支持向量机模型的优化参数,和特征向量加权处理word2vec分类,和分类结果的输出。</年代pan></span></span></p> <p>在这项研究中,整个实验过程如图<a href="//www.newsama.com/journals/sp/2022/3330196/fig6/" target="_blank">6</a>。</p> <h4 id="experiment-results">5。实验结果</h4> <p>预测结果可以分为4类:(1)TP,指积极预测的数量,(2)FN,积极的预测是消极的数量,(3)FP,预测消极为积极的数量,和(4)TN,负向预测数量负方向。</p> <p>积极类的准确性<年代pan class="inline_break"> <svg height="12.4568pt" id="M125" style="vertical-align:-3.16847pt" version="1.1" viewbox="-0.0498162 -9.28833 41.706 12.4568" width="41.706pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-81"></use> </g> <rect height="0.3985" width="3.91466" x="8.12934" y="-0.3985"></rect> <g transform="matrix(.013,0,0,-0.013,12.044,0)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.013,0,0,-0.013,18.973,0)"> <use xlink:href="#g190-112"></use> </g> <g transform="matrix(.013,0,0,-0.013,25.604,0)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.013,0,0,-0.013,34.075,0)"> <use xlink:href="#g117-34"></use> </g> </svg><span class="irelop"></span> <svg height="12.4568pt" style="vertical-align:-3.16847pt" version="1.1" viewbox="45.2881838 -9.28833 20.753 12.4568" width="20.753pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,45.338,0)"> <path d="M592 498C586 556 582 629 581 675H560C545 656 537 650 510 650H115C87 650 74 652 60 675H40C38 620 33 555 28 495H57C69 539 77 568 89 585C102 607 122 616 205 616H267V123C267 44 259 34 168 28V0H454V28C360 34 352 44 352 123V616H422C498 616 514 608 531 584C542 568 552 543 562 495L592 498Z" id="g190-85"></path> </g> <g transform="matrix(.013,0,0,-0.013,53.358,0)"> <use xlink:href="#g190-81"></use> </g> <g transform="matrix(.013,0,0,-0.013,60.735,0)"> <use xlink:href="#g113-48"></use> </g> </svg><span class="isep"></span> <svg height="12.4568pt" style="vertical-align:-3.16847pt" version="1.1" viewbox="66.04618380000001 -9.28833 30.432 12.4568" width="30.432pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,66.096,0)"> <use xlink:href="#g113-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,70.594,0)"> <use xlink:href="#g190-85"></use> </g> <g transform="matrix(.013,0,0,-0.013,78.615,0)"> <use xlink:href="#g190-81"></use> </g> <g transform="matrix(.013,0,0,-0.013,88.897,0)"> <use xlink:href="#g117-36"></use> </g> </svg><span class="ibiop"></span><span class="nowrap"> <svg height="12.4568pt" style="vertical-align:-3.16847pt" version="1.1" viewbox="99.3841838 -9.28833 19.461 12.4568" width="19.461pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,99.434,0)"> <use xlink:href="#g190-70"></use> </g> <g transform="matrix(.013,0,0,-0.013,106.818,0)"> <use xlink:href="#g190-81"></use> </g> <g transform="matrix(.013,0,0,-0.013,114.192,0)"> <use xlink:href="#g113-42"></use> </g> </svg>;</年代pan></span>积极的召回率<年代pan class="inline_break"> <svg height="12.4568pt" id="M126" style="vertical-align:-3.16847pt" version="1.1" viewbox="-0.0498162 -9.28833 42.462 12.4568" width="42.462pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <path d="M631 18C609 24 585 35 559 65C534 91 514 117 478 169C448 214 406 281 389 313C462 346 516 399 516 485C516 545 490 590 449 616C412 641 363 650 290 650H42V622C120 615 128 612 128 527V125C128 40 120 34 38 28V0H300V28C221 34 212 40 212 125V284H244C295 284 312 272 329 244C359 195 395 133 430 84C475 19 516 -3 592 -7C603 -8 615 -8 627 -8L631 18ZM212 316V563C212 591 215 602 223 607C231 613 248 617 277 617C352 617 423 577 423 469C423 415 407 375 368 345C343 324 310 316 260 316H212Z" id="g190-83"></path> </g> <rect height="0.3985" width="3.91466" x="8.88617" y="-0.3985"></rect> <g transform="matrix(.013,0,0,-0.013,12.801,0)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.013,0,0,-0.013,19.73,0)"> <use xlink:href="#g190-112"></use> </g> <g transform="matrix(.013,0,0,-0.013,26.36,0)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.013,0,0,-0.013,34.831,0)"> <use xlink:href="#g117-34"></use> </g> </svg><span class="irelop"></span> <svg height="12.4568pt" style="vertical-align:-3.16847pt" version="1.1" viewbox="46.0441838 -9.28833 20.754 12.4568" width="20.754pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,46.094,0)"> <use xlink:href="#g190-85"></use> </g> <g transform="matrix(.013,0,0,-0.013,54.115,0)"> <use xlink:href="#g190-81"></use> </g> <g transform="matrix(.013,0,0,-0.013,61.492,0)"> <use xlink:href="#g113-48"></use> </g> </svg><span class="isep"></span> <svg height="12.4568pt" style="vertical-align:-3.16847pt" version="1.1" viewbox="66.8031838 -9.28833 30.432 12.4568" width="30.432pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,66.853,0)"> <use xlink:href="#g113-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,71.351,0)"> <use xlink:href="#g190-85"></use> </g> <g transform="matrix(.013,0,0,-0.013,79.372,0)"> <use xlink:href="#g190-81"></use> </g> <g transform="matrix(.013,0,0,-0.013,89.654,0)"> <use xlink:href="#g117-36"></use> </g> </svg><span class="ibiop"></span><span class="nowrap"> <svg height="12.4568pt" style="vertical-align:-3.16847pt" version="1.1" viewbox="100.1401838 -9.28833 19.462 12.4568" width="19.462pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,100.19,0)"> <use xlink:href="#g190-70"></use> </g> <g transform="matrix(.013,0,0,-0.013,107.574,0)"> <use xlink:href="#g190-81"></use> </g> <g transform="matrix(.013,0,0,-0.013,114.949,0)"> <use xlink:href="#g113-42"></use> </g> </svg>。</年代pan></span>积极的课堂<年代vg height="11.7065pt" id="M127" style="vertical-align:-3.18152pt" version="1.1" viewbox="-0.0498162 -8.52498 11.9489 11.7065" width="11.9489pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-71"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.903,3.132)"> <use xlink:href="#g50-50"></use> </g> </svg>值是<年代pan class="equation_break" id="EEq15"><span class="left_break" id="L128"></span><span class="middle_break"><span class="center_break" id="M128"> <svg height="29.6485pt" id="M128-1" version="1.1" viewbox="0 0 126.944 29.6485" width="126.944pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B128-1"> <g transform="matrix(.013,0,0,-0.013,0,17.255)"> <use xlink:href="#g190-71"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.9,20.386)"> <use xlink:href="#g50-50"></use> </g> <g transform="matrix(.013,0,0,-0.013,15.48,17.255)"> <use xlink:href="#g117-34"></use> </g> <g transform="matrix(.013,0,0,-0.013,27.94,8.525)"> <use xlink:href="#g113-51"></use> </g> <g transform="matrix(.013,0,0,-0.013,37.08,8.525)"> <use xlink:href="#g117-42"></use> </g> <g transform="matrix(.013,0,0,-0.013,47.62,8.525)"> <use xlink:href="#g190-81"></use> </g> <rect height="0.3985" width="3.91466" x="55.75" y="8.126"></rect> <g transform="matrix(.013,0,0,-0.013,59.66,8.525)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.013,0,0,-0.013,66.59,8.525)"> <use xlink:href="#g190-112"></use> </g> <g transform="matrix(.013,0,0,-0.013,73.22,8.525)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.013,0,0,-0.013,80.97,8.525)"> <use xlink:href="#g117-42"></use> </g> <g transform="matrix(.013,0,0,-0.013,91.51,8.525)"> <use xlink:href="#g190-83"></use> </g> <rect height="0.3985" width="3.91466" x="100.39" y="8.126"></rect> <g transform="matrix(.013,0,0,-0.013,104.31,8.525)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.013,0,0,-0.013,111.24,8.525)"> <use xlink:href="#g190-112"></use> </g> <g transform="matrix(.013,0,0,-0.013,117.87,8.525)"> <use xlink:href="#g190-116"></use> </g> <rect height="0.65243" width="94.8469" x="27.94" y="13.601"></rect> <g transform="matrix(.013,0,0,-0.013,37.81,26.48)"> <use xlink:href="#g190-81"></use> </g> <rect height="0.3985" width="3.91466" x="45.94" y="26.082"></rect> <g transform="matrix(.013,0,0,-0.013,49.85,26.48)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.013,0,0,-0.013,56.78,26.48)"> <use xlink:href="#g190-112"></use> </g> <g transform="matrix(.013,0,0,-0.013,63.41,26.48)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.013,0,0,-0.013,71.15,26.48)"> <use xlink:href="#g117-36"></use> </g> <g transform="matrix(.013,0,0,-0.013,81.69,26.48)"> <use xlink:href="#g190-83"></use> </g> <rect height="0.3985" width="3.91466" x="90.58" y="26.082"></rect> <g transform="matrix(.013,0,0,-0.013,94.49,26.48)"> <use xlink:href="#g190-113"></use> </g> <g transform="matrix(.013,0,0,-0.013,101.42,26.48)"> <use xlink:href="#g190-112"></use> </g> <g transform="matrix(.013,0,0,-0.013,108.05,26.48)"> <use xlink:href="#g190-116"></use> </g> <g transform="matrix(.013,0,0,-0.013,123.98,17.255)"> <use xlink:href="#g113-47"></use> </g> </g> </svg></span></span><span class="right_break" id="R128"> <svg class="label" height="11.44pt" id="M128-2" version="1.1" viewbox="0 0 19.288 11.44" width="19.288pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g id="B128-2"> <g transform="matrix(.013,0,0,-0.013,0,9.26)"> <use xlink:href="#g190-41"></use> </g> <g transform="matrix(.013,0,0,-0.013,4.5,9.26)"> <use xlink:href="#g190-213"></use> </g> <g transform="matrix(.013,0,0,-0.013,8.89,9.26)"> <use xlink:href="#g190-161"></use> </g> <g transform="matrix(.013,0,0,-0.013,14.79,9.26)"> <use xlink:href="#g190-42"></use> </g> </g> </svg></span></span></p> <p>速度和精度<年代vg height="11.7065pt" id="M129" style="vertical-align:-3.18152pt" version="1.1" viewbox="-0.0498162 -8.52498 11.9489 11.7065" width="11.9489pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <g transform="matrix(.013,0,0,-0.013,0,0)"> <use xlink:href="#g190-71"></use> </g> <g transform="matrix(.0091,0,0,-0.0091,6.903,3.132)"> <use xlink:href="#g50-50"></use> </g> </svg>值作为评价标准。在我们的研究中,共有7000个积极评价和3000年负面评论被选为中华民国曲线绘制,和AUC也作为标准来评估分类的效果。介绍了SVM-IPSO的AUC值数据<a href="//www.newsama.com/journals/sp/2022/3330196/fig6/" target="_blank">6</a>在<a href="//www.newsama.com/journals/sp/2022/3330196/fig7/" target="_blank">7</a>。</p> <div class="partial-carousel-wrapper"> <div class="floats-partial-section"> <div class="floats-partial-content"> <div class="partial-carousel--full-image partial-carousel-daa31c00ce945f49bde61d67d571d7c5"> <div class="partial-carousel--single-image"> <img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/figures/3330196.fig.006.jpg"> <br> <strong></strong> </div> </div> </div> <div class="floats-partial-middle"> <div class="floats-partial-middle--thumbs"> <div class="partial-carousel-dots-daa31c00ce945f49bde61d67d571d7c5 partial-carousel-thumbnail"> <button aria-label="Slide to " class="partial-carousel-dot"><img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/thumbnails/3330196.fig.006_th.jpg"><br><strong></strong></button> </div> </div> <div class="floats-partial-middle--nav"> <div class="partial-carousel-next-prev-daa31c00ce945f49bde61d67d571d7c5 partial-carousel-next-prev"> <button aria-label="Previous" class="carousel-prev"></button> <button aria-label="Next" class="carousel-next"></button> </div> </div> </div> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">图6</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/fig6/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> 该方法的结构。</div> </div> </div> </div> <div class="partial-carousel-wrapper"> <div class="floats-partial-section"> <div class="floats-partial-content"> <div class="partial-carousel--full-image partial-carousel-3e5fafd1f60b46d9f06104cc45cc77d9"> <div class="partial-carousel--single-image"> <img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/figures/3330196.fig.007.jpg"> <br> <strong></strong> </div> </div> </div> <div class="floats-partial-middle"> <div class="floats-partial-middle--thumbs"> <div class="partial-carousel-dots-3e5fafd1f60b46d9f06104cc45cc77d9 partial-carousel-thumbnail"> <button aria-label="Slide to " class="partial-carousel-dot"><img loading="lazy" alt="" src="https://static.hindawi.com/articles/sp/volume-2022/3330196/thumbnails/3330196.fig.007_th.jpg"><br><strong></strong></button> </div> </div> <div class="floats-partial-middle--nav"> <div class="partial-carousel-next-prev-3e5fafd1f60b46d9f06104cc45cc77d9 partial-carousel-next-prev"> <button aria-label="Previous" class="carousel-prev"></button> <button aria-label="Next" class="carousel-next"></button> </div> </div> </div> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">图7</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/fig7/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> SVM-IPSO的AUC值。</div> </div> </div> </div> <p>最后,不同模型下的分类效果比较表<a href="//www.newsama.com/journals/sp/2022/3330196/tab3/" target="_blank">3</a>。研究结果表明,该方法具有较高的预测精度和较高的运行效率。</p> <div class="floats-partial-section partial-other-wrapper" data-section="tab3"> <div class="floats-partial-footer"> <div class="floats-partial-caption"> <span class="caption-text">表3</年代pan> <a aria-label="View full page" class="caption-partial-url" href="//www.newsama.com/journals/sp/2022/3330196/tab3/" title="" target="_blank"></a> </div> <div class="floats-partial-caption-text"> 在不同的模型分类效果。</div> <a class="table-thumb-overlay" href="//www.newsama.com/journals/sp/2022/3330196/tab3" target="_blank" aria-label="View full page"></a> </div> </div> <p>时间消耗而言,情感词典最糟糕的表现。支持向量机算法与我们的算法比300年代。因为我们进行参数优化的基础上,支持向量机模型中,所有的耗时的SVM算法比单一的支持向量机算法,和我们的算法明显优于其他比较算法的准确性和F1的分数。这表明我们的算法的有效性。此外,CNN算法的精度也很高。我们会考虑添加CNN算法组合模型在未来的研究,进一步提高我们的情感分类模型的准确性。</p> <h4 id="conclusion">6。结论</h4> <p>在这个研究中,我们提出了一种改进的粒子群优化算法,并用于优化支持向量机模型参数对中文文本情感分类。内核技术用于学习支持向量机模型中的非线性模型,和减少损失。研究结果表明,SVM-IPSO弥补传统情感词典的不足影响通过词序和不同的上下文和解决局部优化的问题。同时,它避免了问题的梯度消失或分散使用卷积时,降低了参数优化和调整的成本,具有较高的运行效率和精度,并可以预测文本情感。在未来,我们还将继续努力改进算法来提高精度;同时,本研究的实验数据都从网络中提取,因此有必要增加数据规模和验证该模型在大规模数据的分类效果。这个模型有很好的影响二元分类问题,所以我们将考虑扩展模型来解决更复杂的分类问题。我们的研究的局限性是,网络评论文本情感分类可能不是一个第二分类;我们可以设置更多的情感表达的情绪更准确的分类根据量化,比如情感的设计规模量化情感从低到高的分数值,以便更好的为管理者提供有效的决策支持。</p> <h4 id="data-availability">数据可用性</h4> <p>本研究的实验数据是可用的要求从相应的作者。</p> <h4 id="conflicts-of-interest">的利益冲突</h4> <p>所有作者宣称他们没有关于这项研究的利益冲突。</p> <h4 id="acknowledgments">确认</h4> <p>这项工作是由2018年河南高校的骨干教师培训项目(没有。2018 ggjs183)。</p> </div> </div> <div class="ArticleReferences_xmlContent__p_40j"> <h4 class="ArticleReferences_references__GH2t_" id="references">引用</h4> <ol class="ArticleReferences_orderedReferences__mJr9M"> <li class="ArticleReferences_articleReference__ouEuh" id="B1"> <div class="referenceContent"> <p class="referenceText">d·p·摩根和c·l·斯科菲尔德,“自然语言处理”,<我>神经网络和语音处理</我>,8卷,页245 - 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14"> <defs> <clippath id="a"> <path d="M10.293,13.707a1,1,0,0,1,0-1.414L14.586,8H1A1,1,0,0,1,1,6H14.586L10.293,1.707A1,1,0,0,1,11.707.293l6,6a1,1,0,0,1,.172.231h0l.01.019,0,.005.007.014.006.012,0,.008.008.018v0a1,1,0,0,1-.009.817l0,0L17.9,7.44l0,.009-.005.011-.007.013,0,.008-.008.015,0,.005-.01.016,0,0-.011.017,0,0-.012.018,0,0-.012.017,0,0L17.8,7.6l0,0-.011.014,0,.006-.01.012-.009.011-.006.007-.015.017h0l-.04.042-6,6a1,1,0,0,1-1.414,0Z" transform="translate(3 5)"></path> </clippath> </defs> <g transform="translate(-3 -5)"> <path d="M10.293,13.707a1,1,0,0,1,0-1.414L14.586,8H1A1,1,0,0,1,1,6H14.586L10.293,1.707A1,1,0,0,1,11.707.293l6,6a1,1,0,0,1,.172.231h0l.01.019,0,.005.007.014.006.012,0,.008.008.018v0a1,1,0,0,1-.009.817l0,0L17.9,7.44l0,.009-.005.011-.007.013,0,.008-.008.015,0,.005-.01.016,0,0-.011.017,0,0-.012.018,0,0-.012.017,0,0L17.8,7.6l0,0-.011.014,0,.006-.01.012-.009.011-.006.007-.015.017h0l-.04.042-6,6a1,1,0,0,1-1.414,0Z" transform="translate(3 5)" fill="currentColor"></path> </g> </svg></span></a> <div class="articleToolbarStatistics_articleToolbarStatistics__8_woN"> <div class="articleToolbarStatistics_column__R2GqD"> <div> <div> <span>的观点</年代pan> <div class="articleToolbarStatistics_amount__vJIDp"> 291年</div> </div> <div> <span>下载</年代pan> <div class="articleToolbarStatistics_amount__vJIDp"> 421年</div> </div> </div> </div> <div class="articleToolbarStatistics_column__R2GqD articleToolbarStatistics_dimensions__pe7pO"> <div> 引用</div> <span class="__dimensions_badge_embed__ articleToolbarStatistics_circle__p2dSc" data-doi="10.1155/2022/3330196" data-style="small_circle"></span> </div> </div> <ul class="articleToolbarSocials_articleToolbarSocials__g02HH"> <li><a href="https://twitter.com/share?url=https://doi.org/10.1155/2022/3330196&via=Hindawi" unselectable="on" title="" rel="noopener noreferrer" target="_blank"><span role="img" class="anticon"> <svg xmlns="http://www.w3.org/2000/svg" width="1em" height="1em" viewbox="126.444 2.281 589 589"> <circle 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