Research on genetic algorithms-based fuzzy neural network and realization of hardware

This paper proposes a design of fuzzy neural network (FNN) controller based on genetic algorithms optimization (GA). The parameters of FNN are optimized with GA. It optimizes control rules of the optimal controller - GA-FNN, with these optimized parameters to achieve the goal of structure optimization. The implementation of hardware and a simulation example is used to demonstrate excellent performance of the proposed controller.