Optimization of Parameters of Neural Networks by Genetic Algorithm in the Control Systems of Electromechanical Objects

被引：0
|
作者：
Belov, M. P. [1 ]
Zolotov, O. I. [2 ]
机构：
[1] St Petersburg Electrotech Univ LETI, St Petersburg, Russia
[2] Bonch Bruevich St Petersburg State Univ Telecommu, St Petersburg, Russia
来源：
2015 XVIII International Conference on Soft Computing and Measurements (SCM) | 2015年
关键词：
neural network; genetic algorithm; control systems; electromechanical objects;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This study investigates the effectiveness of the genetic algorithm evolved neural network and its application in the drive control systems of electromechanical objects. The methodology adopts a real coded GA strategy using datasets in a series of experiments that evaluate the effects on network performance of different choices of network parameters.
引用
收藏
页码：136 / 138
页数：3
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