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基于混合型专家系统的资信评估系统模型设计与实现
引用本文:金剑,林成德.基于混合型专家系统的资信评估系统模型设计与实现[J].计算机应用,2003,23(4):81-83.
作者姓名:金剑  林成德
作者单位:厦门大学,自动化系,福建,厦门,361005
摘    要:文章探讨将人工神经网络与专家系统结合应用于商业银行企业信用评估,并以一个混合型专家系统ECAMES(Enterprise Credit Assessment Mixed Expert System)为例,阐述了混合型专家系统模型的设计与实现。

关 键 词:混合型专家系统  资信评估系统模型  设计  人工神经网络  主成分析法  财务分析  企业
文章编号:1001-9081(2003)04-0081-03
修稿时间:2002年10月28

Developing an Enterprise Credit Assessment System Based on Mixed Expert System
JIN Jian,LIN Cheng de.Developing an Enterprise Credit Assessment System Based on Mixed Expert System[J].journal of Computer Applications,2003,23(4):81-83.
Authors:JIN Jian  LIN Cheng de
Abstract: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 is introduced in this paper. Based on the realization of a prototype system,the general scheme for designing and constructing such a mixed expert system has been discussed.
Keywords:enterprise credit assessment  artificial neural network  mixed expert system  principle component analysis
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