TY -的A2 -李,元盟——沈Jianjun PY - 2022 DA - 2022/10/08 TI -国际贸易绩效评估研究跨境电子商务基于深层神经网络模型SP - 3006907六世- 2022 AB -电子商务国际贸易的迅速发展,促进了经济的迅猛发展的经济体系的国际贸易企业。这也意味着,行业竞争逐渐加剧,这也使得绩效评估跨境电子商务国际贸易的关键。目前,我国的绩效评估研究跨境电子商务国际贸易处于一个空白的状态。因此,本文以国际贸易跨境电子商务绩效评价为研究对象,基于深层神经网络模型,开发了跨境国际贸易绩效评估模型,改变贸易战略,提高贸易表现。本文首先分析各种神经网络模型,如人工神经网络、“英国石油公司”神经元模型,LSTM神经网络。本文总结了深神经网络模型,有利于跨境电子商务的发展,指出在当前绩效评估存在的问题跨境电子商务国际贸易:电子商务市场监督制度并非完美无缺;第二个是不一致的评价指标;第三是评价系统。与实际有一些差异。最后,本文提出了相关建议的绩效评估跨境电子商务国际贸易和指出了各种神经网络的优缺点,以及他们的角色在跨境电子商务绩效评估,并比较这些神经网络通过实验。 Experiments show that among these neural network models, the deep neural network model is the best and has the highest accuracy and stability in e-commerce trade performance evaluation. In the later stage, we will improve the global logistics system, strengthen the application of big data technology, and improve the overall performance of global operations. First, a set of indicators is designed to evaluate the performance of e-commerce systems, using the enterprise key factor model concept. In addition, this evaluation method is different from the commonly used expert evaluation method and physical evaluation method in evaluating the construction quality, cost, education and growth ability, and performance level of the international business system of cross-border e-commerce. SN - 1687-725X UR - https://doi.org/10.1155/2022/3006907 DO - 10.1155/2022/3006907 JF - Journal of Sensors PB - Hindawi KW - ER -