The Optimization of Fuzzy Neural Network Based on Artificial Fish Swarm Algorithm

Abstract

To better solve the optimization problem of fuzzy neural network (FNN), a kind of method based on artificial fish swarm algorithm (AFSA) is proposed in this paper. Aiming at the structure optimization problem of FNN, AFSA-FNN1 is established and realizes the simplification of fuzzy rules. Aiming at the parameter optimization problem of FNN, AFSA-FNN2 is built and realizes the acquisition of parameters of membership function (MF) automatically. The proposed method uses for path planning of the robot, simulation results show that the optimized FNN can enhance the smoothness of the path.