Optimization of parameters of neural networks by genetic algorithm in the control systems of electromechanical objects
Mikhail P. Belov, O. I. Zolotov · 2015
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.