Research on Credit Risk Assessment Model of Commercial Banks Based on Fuzzy Probabilistic Neural Network

Yuansheng Huang, Chengfang Tian
{"title":"Research on Credit Risk Assessment Model of Commercial Banks Based on Fuzzy Probabilistic Neural Network","authors":"Yuansheng Huang, Chengfang Tian","doi":"10.1109/ICRMEM.2008.33","DOIUrl":null,"url":null,"abstract":"The paper proposes credit risk assessment model of commercial banks based on fuzzy probabilistic neural network model (FPNN) which combines the relative membership degree in fuzzy mathematics with Probabilistic Neural Network (PNN). The model makes up for a deficiency of ANN and BP arithmetic. Finally, an example is used to prove the calculation of this method is succinct rapid, and the evaluative result is objective.","PeriodicalId":430801,"journal":{"name":"2008 International Conference on Risk Management & Engineering Management","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Risk Management & Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRMEM.2008.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

The paper proposes credit risk assessment model of commercial banks based on fuzzy probabilistic neural network model (FPNN) which combines the relative membership degree in fuzzy mathematics with Probabilistic Neural Network (PNN). The model makes up for a deficiency of ANN and BP arithmetic. Finally, an example is used to prove the calculation of this method is succinct rapid, and the evaluative result is objective.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于模糊概率神经网络的商业银行信用风险评估模型研究
将模糊数学中的相对隶属度与概率神经网络相结合,提出了基于模糊概率神经网络模型的商业银行信用风险评估模型。该模型弥补了人工神经网络和BP算法的不足。最后通过算例证明了该方法计算简洁、快速,评价结果客观。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Comprehensive Post-Evaluation of Rural Electric Network Reformation Based on Fuzzy Interval Number AHP Research on Optimization of Generation Companies' Profits Risk Management Supplier Selection Model Based on the Grey System Theory Electricity Load Forecasting Using Rough Set Attribute Reduction Algorithm Based on Immune Genetic Algorithm and Support Vector Machines Explanation by Evolutionary Game Theory in Evolvement of Surface Treatment Industry Cluster
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1