Simulation study of structure optimization by combining fuzzy neural network (FNN) with genetic algorithm (GA)

The method of using genetic algorithm to optimize a fuzzy neural network (FNN) has been introduced in many papers, but most of these articles adopt different methods. This paper identifies the parameters of the controlled plant using a neural network; then it modifies the parameters with the genetic algorithm for optimization. Finally, it modulates and optimizes the membership function and control rules of the optimal controller-FNN with these optimized parameters to achieve the goal of structure optimization. The paper simulates the whole algorithm using the MATLAB 5.3.