A hybrid evolutionary algorithm based on gradient descends method is proposed to determine the structure of
RBF neural network and optimize its parameters. A gradient descend operator is introduced into the evolutionary algorithm.
Gradient descend method is carried on search by certain probability for certain elitists of every generation to strengthen the
ability of local search. The structure and parameters of RBF network are trained and optimized together by using hybrid
evolutionary algorithm. The experimental results show that the RBF neural network has stronger generalization ability.