Optimization of parameters of neural networks by genetic algorithm in the control systems of electromechanical objects

Abstract

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.