Modeling and simulation of Financial Crisis Warning System based on RBF Neural Network

被引：2
|
作者：
Xu zhi-ping [1 ]
机构：
[1] Handan Polytech Coll, Hebei Handan 056005, Peoples R China
来源：
2016 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS) | 2016年
关键词：
Financial crisis; RBF Artificial; Listed Company; Crisis Warning Model;
D O I：
10.1109/ICRIS.2016.53
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a financial crisis early warning model based on RBF neural network is established, and the 263 industry's financial indicators are used as a training set for the neural network training, and the 76 industries financial index are used as inspection sample. The results of the model show that the RBF neural network model is superior to the custom model and obtain high precision for the special industry. Through the model simulation and result analysis, the model can provide the decision makers with accurate and reliable advice.
引用
收藏
页码：264 / 267
页数：4
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