现代电子技术2016，Vol.39Issue(15)：130-132,136,4.DOI:10.16652/j.issn.1004-373x.2016.15.033
情感神经网络在信用卡评估中的应用
Application of emotional neural network in credit card assessment
摘要
Abstract
The emotional neural network is researched by referring the content requirement of emotion psychology,and the emotional factor in emotional intelligence is added relatively. The emotional factor component is added into the common neural network structure to establish the emotional neural network model,which can improve the learning and decision⁃making process⁃es of the neural network. In this paper,the input and output relations of each neuron are constructed,including the emotion neu⁃ron. The emotional neural network structure was established to deduct the learning algorithm of emotional neural network. The al⁃gorithm is applied to the credit card assessment. The experimental results show that the classification effect of the proposed emo⁃tional neural network algorithm is obviously better than that of the traditional method,and the recognition rate of good customer and bad customer can reach up to 100%,and the model classification accuracy is improved to a certain extent.关键词
神经网络/情感神经网络/信用卡评估/情感因素分量Key words
neural network/emotional neural network/credit card assessment/emotional factor component分类
信息技术与安全科学引用本文复制引用
曹莹,苗志刚,张宇敬..情感神经网络在信用卡评估中的应用[J].现代电子技术,2016,39(15):130-132,136,4.基金项目
河北省教育厅青年基金项目（Q2012052）研究成果；河北省教育厅重点项目（ZD20131083）研究成果；河北省社科基金（HB15GL097）研究成果；计算机应用技术省级重点发展学科研究成果；智慧金融应用研发中心研究成果 （）
