基于混合型专家系统的资信评估系统模型设计与实现  

Developing an Enterprise Credit Assessment System Based on Mixed Expert System

作　　者：金剑[1] 林成德[1] 

机构地区：[1]厦门大学自动化系,福建厦门361005

出　　处：《计算机应用》2003年第4期81-83,共3页journal of Computer Applications

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(EnterpriseCreditAssessmentMixedExpertSystem)为例 ,阐述了混合型专家系统模型的设计与实现。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.

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 

分 类 号：F275[经济管理—企业管理] TP182[经济管理—国民经济]