TY - A2的太阳,乐盟——气、取得非盟- Li Yang PY - 2022 DA - 2022/08/30 TI -情感识别和精神状态预测研究的大学生基于深层神经网络SP - 1607177六世- 2022 AB -进入新世纪以来,人们的生活水平在稳步提高,和他们的生活条件也不断改善。生活水平的提高带来了更大的压力。情感和心理状态的识别已经成为研究热点之一。因为过度的工作压力,现在很多学生患有抑郁症。在本文中,我们使用大量的研究数据和比较图表便于分析收集到的数据。与此同时,我们用LDA主题分类和NLDA神经网络算法提炼和简洁的数据处理。研究表明,学生的心理状态会影响他们的学术成就。学生应该尽他们所能管理他们的精神状态,学会知道他们的情绪状态,并确保一个良好的心理状态。情感的领导是非常重要的对于学生的身心健康。情感领导对学生和学校是一个非常重要的任务。 Schools and students should actively cooperate to improve ’students’ ability to manage emotions, especially their ability to self-regulate emotions, and to jointly help build a harmonious campus. Because of the contradiction between the complexity of interpersonal relationship and society and the simplicity of students, students are often frustrated in interpersonal communication. The biggest reason for students’ psychological state is that they have no courage to express themselves in public, cannot communicate with others, and are interested in and concerned about the failure of various activities. SN - 1574-017X UR - https://doi.org/10.1155/2022/1607177 DO - 10.1155/2022/1607177 JF - Mobile Information Systems PB - Hindawi KW - ER -