制造业中小企业的资信评估研究  

The research of Credit risk assessment of small & medium-sized enterprises of manufacturing

作　　者：熊颖[1] 陈新[1] 陈新度[1] 

机构地区：[1]广东工业大学机电工程学院,广州510090

出　　处：《微计算机信息》2007年第27期30-32,共3页Control & Automation

基　　金：国家自然科学基金(50475047);广东省自然科学基金团队项目(05200197);粤港关键领域招标项目(2005A10207002)

摘　　要：本文针对制造业中小企业的特点,建立了一套适合该类型企业的资信评估指标体系,并且基于改进型BP神经网络算法对该评估体系的各项资信指标权值进行训练,使网络输出达到理想精度。经实验数据证明,该算法应用于资信评估具有较高的预测精度。Consider to the small and medium-sized enterprise characteristic of manufacturing, this article established a indicators＇ system of Credit risk assessment, and carried on the training to each indicators weight based on the advanced version BP neural network algorithm, enabled the network output to achieve the ideal precision. The experiments shows the algorithm applied in the Credit risk assessment have the high forecast precision.

关 键 词：BP神经网络 资信评估 指标权值 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]