机电对象控制系统中神经网络参数的遗传算法优化

2015 XVIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2015-05-19 DOI:10.1109/SCM.2015.7190490

M. P. Belov, O. Zolotov

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引用次数: 5

摘要

研究了遗传算法演化神经网络的有效性及其在机电对象驱动控制系统中的应用。该方法采用一种真实编码的遗传算法策略，利用一系列实验数据集来评估不同网络参数选择对网络性能的影响。

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

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.

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来源期刊

2015 XVIII International Conference on Soft Computing and Measurements (SCM)

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