An Algorithm for Generalized RBF Network Based on Self-organizing Selection Center

An algorithm for generalized RBF neural network was presented through analyzing three parameters: center,variance and weight.First,this self-organizing selects center algorithm learning basis functions in hidden layers.Then the weight of output layers is learned,simulations indicate the efficiency of the algorithm.