A New Learning Algorithm of BP Network Based on Particle Swarm Optimization

Standard BP algorithm is a kind of learning algorithm of multilayer perceptrons.It is designed based of gradient method.To overcome its defects,the paper proposes a new learning algorithm of BP network——particle swarm learning algorithm.The algorithm adopts parallel technology to quicken the speed,and it is simply achieved by programming.Simulation results indicate that the particle swarm learning algorithm is a simple and efficient learning algorithm,and it has widely application prospect.