Developing an enterprise credit assessment system based on neural network and expert system techniques

被引：0

作者：

Lin, Cheng-De ^{[1
]}

Chen, Xiong-Hua ^{[1
]}

Zhang, Liu-Yuan ^{[1
]}

Jin, Jian ^{[1
]}

Gao, Hong-Tao ^{[1
]}

机构：

[1] Dept. of Automat., Xiamen Univ., Xiamen 361005, China

来源：

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2002年 / 36卷 / SUPPL.期

关键词：

Evaluation - Expert systems - Financial data processing - Neural networks - Software prototyping;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Enterprise credit assessment is a very important but rather complicated process for commercial banks, in which both quantitative data and qualitative data in different aspects must be considered. A new method, which combines the artificial neural network with the expert system, was introduced. Based on the realization of a prototype system, the general scheme for designing and constructing such a mixed expert system was discussed.

引用

页码：48 / 51