Fuzzy ART研究及在银行信用风险评估中的应用  

Application of Fuzzy ART neural network for evaluation of banking credit risk

作　　者：董秀秀[1] 张洪伟[1] 

机构地区：[1]四川大学计算机学院,成都610064

出　　处：《计算机工程与应用》2008年第15期231-233,共3页Computer Engineering and Applications

摘　　要：探讨了Fuzzy ART神经网络的聚类功能及其参数对网络的影响。提出了一种基于该聚类理论的银行信用风险评估聚类模型。采用ASP.NET+MS SQL Server 2000的B/S构架实现了银行信用风险评估系统。通过上市公司财务数据验证了聚类结果的有效性和合理性。The Fuzzy ART neural network,its use of clustering and the parameters in this network are discussed.An evaluation of banking credit risk clustering model based on Fuzzy ART is proposed.An evaluation of banking credit risk system is design with ASP.NET and MS SQL Server 2000.Tested by the financial data of the listed companies,the clustering result is proved validly and reasonably.

关 键 词：FUZZY ART 聚类 银行信用风险 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]