Enterprise Credit Evaluation Model Based on Genetic Algorithm Optimization BP Neural Network

被引:0
|
作者
Zhang, Yu-jing [1 ,2 ]
Li, Qian [1 ]
Jiang, Zhi-wang [1 ,2 ]
Zhang, Hong-xia [1 ]
机构
[1] Hebei Finance Univ, Dept Informat Management & Engn, Baoding 071000, Peoples R China
[2] Sci & Technol Financial Key Lab Hebei Prov, Baoding 071000, Peoples R China
关键词
Power supply enterprise; Credit evaluation; Genetic algorithm; BP neural network;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Credit is very important for the enterprise, analysis of a comprehensive evaluation of enterprise credit, can enhance the risk control ability of enterprise credit, improve enterprise credit rating. The paper establishes BP neural network credit evaluation model based on genetic algorithm (GA) optimization, and to the power supply enterprise credit evaluation as an example, to verify the practicability of the model in the evaluation of enterprise credit. Examples of verification results indicate that the genetic algorithm (GA) to optimize the BP neural network is better than traditional BP neural network, it's evaluation has higher accuracy, stronger generalization ability, more suitable for the enterprise credit evaluation.
引用
收藏
页码:172 / 176
页数:5
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