Recommended Citation
Published in Proceedings of the 7th World Congress on Intelligent Control and Automation, June 25, 2008, pages 2012-2016.
The definitive version is available at https://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
Copyright
2008 IEEE.
Publisher statement
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URL: https://digitalcommons.calpoly.edu/eeng_fac/104