A Novel Wavelet Neural Network Based on Improved Particle Swarm Optimization Algorithm

A new BP wavelet neural network(WNN) based on improved particle swarm optimization(IPSO) algorithm is presented,and simulation experiments are made for nonlinear model identification.The simulation results show that the novel BP wavelet neural network based on IPSO not only has the good local property of wavelet analysis and the learning and classification capability of artificial neural network,but also has the fast global searching advantage of particle swarm optimization(PSO) algorithm.Compared with BP WNN based on simple PSO,convergence speed and stability of the proposed method are greatly improved,thus validating its rationality and effectiveness.