Recommended Citation
Published in Proceedings of the 7th World Congress on Intelligent Control and Automation, June 25, 2008, pages 2012-2016. Copyright © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. The definitive version is available online at: http://dx.doi.org/10.1109/WCICA.2008.4593233.
Abstract
The size of a neural network must be predetermined before it can be trained for any application. Choosing the correct size of a neural network can increase its speed of response and thus improve the performance of the overall system. In this paper, a genetic algorithm is employed to find the optimal number of connections of a neural network controller which is used to regulate a class of DC power supplies. Satisfactory computer simulation results are obtained.
Disciplines
Electrical and Computer Engineering
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