BP神经网络在信用卡欺诈检测中的应用研究  

Research on the Application of BP Neural Network in Credit Card Fraud Detection

作　　者：李旻璐 黄洋 高伟锋 LI Minu;HUANG Yang;GAO Weifeng(Nanning Vocational and Technical University,Nanning Guangxi 530000,China)

机构地区：[1]南宁职业技术大学,广西南宁530000

出　　处：《信息与电脑》2024年第16期186-189,共4页Information & Computer

摘　　要：当前,金融领域正面临着信用卡欺诈的严峻挑战。鉴于信用卡的刷卡数据存在不均衡的情况,本研究采用了BP(Back Propagation)神经网络等人工智能技术,其能够在数量庞大的交易下完成欺诈交易的辨识与剔除。基于BP神经网络的欺诈侦察技术,通过对客户的行为数据进行训练,能够构建出一个多层次的神经网络欺诈侦察模型。本文经实验验证了BP神经网络的可行性。Currently,the financial sector is facing a serious challenge of credit card fraud.In view of the imbalance of credit card swipe data,this study adopts artificial intelligence techniques such as BP(Back Propagation)neural network,which is capable of accomplishing the identification and rejection of fraudulent transactions under a huge number of transactions.The fraud detection technology based on BP neural network can construct a multi-level neural network fraud detection model by training the customer’s behavioral data.In this paper,the feasibility of BP neural network is experimentally verified.

关 键 词：BP神经网络 信用卡欺诈 异常检测 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]