抄録
Radial basis function (RBF) network's structure determination method by using multiobjective evolutionary algorithms is considered and an ensemble network constructed by the Pareto optimal networks is also proposed in this paper. The candidates of RBF network structure are encoded into the binary coded chromosomes. Then, they evolve toward Pareto optimal front which is defined by the several objective functions corresponding to the model accuracy and model complexity. The application to the nonlinear system identification is studied by numerical simulations, the applicability of the proposed approach is discussed.
