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

页码：136 / 138

页数：3

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