An application of pattern recognition on scoring Chinese corporations financial conditions based on backpropagation neural network

被引：44

作者：

Liang, L ^{[1
]}

Wu, DS ^{[1
]}

机构：

[1] Univ Sci & Technol China, Sch Business, Hefei 230026, Anhui, Peoples R China

来源：

COMPUTERS & OPERATIONS RESEARCH | 2005年 / 32卷 / 05期

关键词：

pattern recognition; backpropagation neural network; multivariate discriminant analysis; financial diagnosis;

D O I：

10.1016/j.cor.2003.09.015

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The paper follows three parts on the whole. The first part reviews the literature on financial diagnosis and the appropriate measures to be currently used. Thus the research gaps in the fields are highlighted. Next part details the variables and samples selection, data, analysis and results applying to scoring financial conditions of a Chinese corporation. By using pattern recognition theory, a scoring model is developed to analyze corporate financial conditions by backpropagation neural networks. It has been proved to be better than ordinary BPNN and traditional multivariate discriminant analysis. Finally, conclusions are presented. (C) 2003 Published by Elsevier Ltd.

引用

页码：1115 / 1129

页数：15

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