In order to improve the network traffic prediction accuracy

this paper proposes a network traffic prediction method based on RBF neural network optimized by genetic algorithm which uses the relation between phase space reconstruction and parameters of prediction model.Firstly

phase space reconstruction and the parameters of RBF neural network are coded

and then the model prediction accuracy is used as the objection function

and optimal parameters of the model are selected by genetic algorithm

lastly

the simulation experiments are carried out to test models performance.The results show that

compared with the traditional models

the proposed model improves the prediction accuracy.