A method of improving performance of fuzzy neural network based on differential evolution
Ming Ma, Xu Yan, Libiao Zhang · 2008
Differential evolution is a powerful evolutionary inspired search technique for global optimization. We have proposed a new algorithm based on differential Evolution to solve the fuzzy neural network design problem, it can identify an optimal and efficient fuzzy neural network structure for a given problem. Numerical simulations show the effectiveness of the proposed algorithm.