Genetic algorithm based self-growing training for RBF neural networks

Presents a RBF self-growing algorithm for training the RBFNN. The GA is employed to assist the search for the optimal RBFNN structure. The output layer weights are trained using a RLMS scheme with a dynamic learning rate.