Particle Swarm Optimization of Weighted Fuzzy Neural Network Model.

Particle Swarm Optimization has been applied in many optimization problems. In this paper, we proposed a new algorithm based on PSO and applied to optimal the weighted fuzzy neural network. It takes some measures to avoid the algorithm into a local convergence and determine the structure of the fuzzy neural network based on the effective rules. Satisfactory results through experiments are obtained. [ABSTRACT FROM PUBLISHER]