Network traffic prediction based on BPNN optimized by self-adaptive immune genetic algorithm

In order to improve the prediction accuracy of the network traffic, aiming at the problem that the BP neural network prediction of the network traffic falls into local optimum easily, a new network traffic prediction method based on BPNN optimized by self-adaptive immune genetic algorithm is proposed. The proposed method is validated through the simulation experiment. The result analysis shows that it has higher prediction precision, which can provide an important theoretical basis for the prediction of the network traffic.