A Comparison of PSO and Backpropagation Combined with LS and RLS in Identification Using Fuzzy Neural Networks

Abstract

In this article using a population-based method, particle swarm optimization in training the standard deviation and centers of radial basis function fuzzy neural networks is put into practice and the results are compared with training the same networks' standard deviation and centers using backpropagation. We have applied Least Square and Recursive Least… (More)

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