Runoff prediction by BP networks model based on PSO

Particle swarm optimizer(PSO) algorithm with the global stochastic optimization technique is introduced and applied to BP neural networks to optimize the parameters of BP neural networks so as to improve the convergence speed and precision of BP neural networks.The runoff predicting results are obtained from two different kinds of BP neural networks,it is shown that convergence speed and precision of BP neural networks are improved.