模糊神经网络在客户信用评级中的应用研究

应用模糊理论的解释能力及神经网络自组织、自学习、自适应等的优点组建模糊神经网络模型，用于商业银行企业客户的信用风险评级，在组织网络时采用结构替代型神经网络，很好地将模糊系统与神经网络融合到一起，并产生模糊规则，训练结果表明系统误差小。

Study of a fuzzy neural network for assessing risk of clients' credit

A fuzzy-neural networks is created for credit risk assessment of commercial banks' enterprise clients. It was used because fuzzy system has the ability of interpretation and neural network's superiority is self-organized,self-study,and self-adaptive.Using structure substituted-style neural network to inosculate fuzzy system and neural network,and to generate fuzzy rules.Training result shows that system error is very small.