Artificial Neural Network Models Based Financial Risk Forewarning Management and Analysis of Listed Company

被引:0
作者
Dou Xuexia [1 ]
机构
[1] Henan Polytech, Zhengzhou, Peoples R China
来源
ADVANCED RESEARCH IN MATERIAL SCIENCE AND MECHANICAL ENGINEERING, PTS 1 AND 2 | 2014年 / 446-447卷
关键词
Artificial Neural Network; Listed Company; Financial Risk Forewarning Management; Analysis;
D O I
10.4028/www.scientific.net/AMM.446-447.1381
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
With the deepening of economic reform and the expansion of the securities market, listed companies in China are facing increasingly serious challenges. The financial forewarning research of listed companies started relatively a little late in China, although some achievements have been made in recent years, there are still many problems in comparison with foreign countries. This article analyzes the situation of financial forewarning research on listed companies home and abroad, it noted the current problems of our listed company. In order to achieve the purpose of implementing dynamic forewarning, we selected the network model of artificial neural network, mainly focusing on the problems in financial forewarning system of our listed companies, and pose empirical analysis based on the listed company data. After been proved, the model not only has good judgment on the financial situation, but also has the advantage of simplicity.
引用
收藏
页码:1381 / 1386
页数:6
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