As a main video transmission mode for digital media networks

the capability to predict VBR video traffic can significantly improve the effectiveness of quality of services.Therefore

aiming at the complex characteristics of MPEG videos

a novel intelligent integrated traffic prediction model is proposed based on fuzzy and neural network.The prediction error is reduced by the fuzzy predictor

and the implementation of neural network is used to lower prediction computation for real time.Simulation results show that the proposed method is able to predict the original traffic more accurately than the normal AR method and can be easily applied into other methods.