Optimize Neural Network Controller Design Using Genetic Algorithm
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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.
Suggested Citation
Ariel Kopel and Xiao-Hua Yu. "Optimize Neural Network Controller Design Using Genetic Algorithm" Proceedings of the 7th World Congress on Intelligent Control and Automation.. Jun. 2008.
Available at: http://works.bepress.com/xhyu/5