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中南大学学报(社会科学版)
ZHONGNAN DAXUE XUEBAO(SHEHUI KEXUE BAN)

2013年10月第19卷第5期
   
本文已被:浏览1873次    下载770次   
文章编号:1672-3104(2013)05-0021-05
 
基于模糊神经网络的企业信用风险评估模型研究
 
楼裕胜
 
(浙江金融职业学院会计系,浙江杭州,310018)
 
摘  要: 根据浙江省企业信用评价指导性标准和规范所确定的企业信用评价指标体系,建立了模糊神经网络的企业信用风险评估模型。该模型中确定的模糊规则层具有自调节的功能,可以较好地实现对企业信用风险的评价。利用MATLAB 2010a编程对样本数据进行实证分析,结果表明模糊神经网络评价企业信用风险具有较高的准确性和稳定性。
 
关键词: 模糊神经网络;企业信用风险;评估模型
 
 
The Research on Corporate Credit Risk Evaluation Model Based on Fuzzy Neural Network
 
LOU Yusheng
 
(Zhejiang Financial College, Hangzhou 310018, China)
 
Abstract: According to the corporate credit evaluation index system stipulated by Zhejiang province enterprise credit evaluation guideline standards and specifications, the author establishes the corporate credit risk fuzzy neural network evaluation model. In this paper, the fuzzy rule layers determined in this model have self-adjustment function, and can better realize the evaluation of corporate credit risk. The author conducted the empirical Analysis on sample data by using MATLAB 2010a programming, of which the results show that the fuzzy neural network evaluation of corporation credit risk can be with higher accuracy and stability.
 
Key words: fuzzy neural network; corporate credit risk; Evaluation model
 
 
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