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基于改进型BP神经网络的信用评估系统研究
引用本文:何建国,蒋国银,田波. 基于改进型BP神经网络的信用评估系统研究[J]. 计算机工程与设计, 2006, 27(4): 605-607,621
作者姓名:何建国  蒋国银  田波
作者单位:华中科技大学,计算机学院,湖北,武汉,430074;湖北经济学院,经济信息系,湖北,武汉,430079
摘    要:
通过研究企业信用评估中的模型问题,为企业经营活动和决策过程提供信息支持。介绍了几种常用的信用评估模型,通过分析它们在评估中的缺陷,提出基于改进型BP神经网络的信用评估模型。在建立指标体系和输出机制的基础上,讨论了基于信用评估模型的评估系统的设计与实现。对模型和评估系统的不足进行了分析,并提出了改进建议。

关 键 词:BP神经网络  信用评估  指标体系  评估系统
文章编号:1000-7024(2006)04-0605-03
收稿时间:2004-12-08
修稿时间:2004-12-08

Study on credit assessment system of enterprise based on improved BP neural network
HE Jian-guo,JIANG Guo-yin,TIAN Bo. Study on credit assessment system of enterprise based on improved BP neural network[J]. Computer Engineering and Design, 2006, 27(4): 605-607,621
Authors:HE Jian-guo  JIANG Guo-yin  TIAN Bo
Affiliation:1. College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; 2. Department of Economic Information, Hubei University of Economy, Wuhan 430079, China
Abstract:
Based on modeling approach, credit assessment of enterprise was studied. And a numerical information support for business and decision was presented. Many credit assessment models in common use were introduced, and an evaluation model based on improved BP neural network was presented by analysis disadvantages of some of them. After evaluation indicator architecture and output mechanism were developed, designing and constructing of evaluation system based on evaluation model was discussed. The suggestions of improving model and assessment system were provided after analyzing the limits of neural network.
Keywords:BP neural network   credit assessment   indicator system   evaluation system
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