Listed Company Reorganization Risk Evaluation Based on Neural Network Model

被引：0
|
作者：
Wang Zuogong [1 ]
Li Huiyang [1 ]
机构：
[1] Henan Univ, Inst Econ, Kaifeng, Peoples R China
来源：
PRACTICAL APPLICATIONS OF INTELLIGENT SYSTEMS, ISKE 2013 | 2014年 / 279卷
关键词：
Listed company; Reorganization; Neural network; Variable structure; Risk evaluation;
D O I：
10.1007/978-3-642-54927-4_23
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The reorganization of listed company is a complicated system engineer with great risk. While aiming at risk characteristics of listed company reorganization, this paper builds up evaluation index system of listed company reorganization risk, designs risk evaluation model based on variable structure neural network of re-linking random process, trains the model by using 10 cases of listed company reorganization and assess the reorganization risk of four listed company. The result shows that the average relative error of the model is 2.44 %, and the largest relative error is 2.96 %, which means that the model has a preferable prediction result.
引用
收藏
页码：241 / 250
页数：10
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