Title: Neural network credit-risk evaluation model based on back-propagation algorithm
Abstract:The research establishes a neural network credit-risk evaluation model by using back-propagation algorithm. The model is evaluated by the credits for 120 applicants. The 120 data are separated in thre...The research establishes a neural network credit-risk evaluation model by using back-propagation algorithm. The model is evaluated by the credits for 120 applicants. The 120 data are separated in three groups: a "good credit" group, a "middle credit" group and a "bad credit" group. The simulation shows that the neural network credit-risk evaluation model has higher classification accuracy compared with the traditional parameter statistical approach, that is linear discriminant analysis. We still give a learning algorithm and a corresponding algorithm of the model.Read More
Publication Year: 2003
Publication Date: 2003-06-26
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 16
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot