In order to improve the prediction accuracy of BP neural network model for chaotic time series, a prediction
method for chaotic time series of optimized BP neural network based on genetic algorithm(GA) is presented. The GA is used
to optimize the weights and thresholds of BP neural network, and the BP neural network is trained to search for the optimal
solution. The efficiency of the proposed prediction method is tested by the simulation of several typical nonlinear systems
and time series of real traffic flow. The simulation results show that the proposed method has better fitting ability and higher
accuracy.