Analysis and improving way of BP ANN in predicting time series data

BP(back propagation)algorithm is one of the most widely used neural network algorithm,and it has very high nonlinear fitting ability.So it can be used to predict the developing trend of time series data.In practical application and simulation,some kinds of problems and exception will happen because of the limitation and deficiency of the algorithm itself such as abnormal termination,long training time and low accuracy.Aiming at improving the performance,through analyzing the algorithm and simulation course,corre- sponding cause and problem-solving way is found.And through improving the simulating course,the performance of simulating is better. Finally,through practical simulating experiments in Matlab,the effect is certificated.