期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2006
卷号：6
期号：5A
页码：6-16
出版社：International Journal of Computer Science and Network Security
摘要：Credit-risk evaluation is a very important management science problem in the financial analysis area. Neural Networks have received a lot of attention because of their universal approximation property. They have a high prediction accuracy rate, but it is not easy to understand how they reach their decisions. In this paper, we present a real-life credit-risk data set and analyze it by using the NeuroRule extraction technique and the WEKA software. The results were considered very satisfactory.
