Optimizing a Fuzzy Neural Network with a Hierarchical Genetic Algorithm
Ming Ma, Libiao Zhang · 2007
We have proposed an algorithm to optimize fuzzy neural network based on hierarchical genetic algorithm. It can evolve both the fuzzy neural network's topology and weighting parameters. In a real problem, it can automatically obtain the near-optimal structure of fuzzy neural network according to the requirements. Numerical simulations show the effectiveness of the proposed algorithm.