Study on RBF NN Based on Improved Differential Evolution

摘要

A novel method of nonlinear system modeling using radial basis function neural network based on improved differential evolution algorithm is proposed. Differential evolution algorithm is presented to in order to improve modeling capability. Local operator and optimization selection strategy is presented to improve the searching speed and the local searching capability of genetic algorithm. According to the characteristics of radial basis function neural network and differential evolution algorithm, radial basis function neural network and differential evolution algorithm are associated to improve modeling precision. The simulation results show the effectiveness of this method.