The BP Neural Network's GA Optimization and Its Realization on MATLAB

被引：0
|
作者：
Peng Hao-yue [1 ]
机构：
[1] Shanxi Univ Finance & Econ, Sch Management Sci & Engn, Taiyuan 030031, Shanxi, Peoples R China
来源：
2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年
关键词：
Back-Propagation; Genetic Algorithms; optimization; MATLAB;
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：
Based on the analysis of The BP Neural Network's structrue and drawbacks, the article uses the Genetic Algorithms to optimize initial weights and thresholds. It still uses function simulation to compare these two neural networks based on the MATLAB. The results show that GA-BP neural networks can reduce the function time and make it more scientific.
引用
收藏
页码：536 / 539
页数：4
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