The Application and Research of Artificial Neural Network in Enterprise Credit Appraisal

被引：0

作者：

Xu, Xin ^{[1
]}

Xu, Li-Hong ^{[2
]}

机构：

[1] Univ Shanghai Sci & Technol, Dept Management, Shanghai 20093, Peoples R China

[2] Tongji Univ, Elect Informat Engn Dept, Shanghai 200092, Peoples R China

来源：

EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8 | 2010年

关键词：

Enterprise Credit Appraisal; BP Neural Network; Indicator System;

D O I：

暂无

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

Along with market economy development, the enterprise credit strengthens increasingly in market competition's status and becomes the important basis which the enterprise cooperates mutually. On one hand, appraising accurately and objectively to the enterprise credit is advantageous to safeguarding investor's capital safety and the benefit. On the other hand, it is also advantageous to the enterprise whose credit is high raising fund from the capital market quickly. The BP neural network technology has many fine performances, for example independent study, auto-adapted and so on. It can deal with the realistic problems including multi-factors, misalignment or uncertain well. This article established an evaluating indicator system and a BP neural network enterprise credit appraising model. The simulation result indicated that this method has very good using value.

引用

页码：552 / +

页数：2