Application of RBF network based on immune algorithm to predicting of wastewater treatment

Abstract

Wastewater treatment is a nonlinear, time-varing and time- delay process. It is difficult to establish exact mathematic model. A novel radial basis function (RBF) neural network model based on immune algorithm (IA) is presented in this paper. It combines the merits of IA and neural network. The IA is used to determine the hidden layer clustering centers of RBF neural network. The wastewater treatment process is established with the novel RBF neural network. Simulation results prove that the method has the advantages of less computation and higher precision. © 2009 Springer Berlin Heidelberg.