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《Journal of Computer Applications》 2006-09
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Combined prediction model of Internet traffic based on neural network

FENG Hai-liang,CHEN Di,LIN Qing-jia,CHEN Chun-xiao(School of Information Science and Engineering,Shandong University,Jinan Shandong 250100,China)  
The Internet traffic is correlated and non-stationary time series.By analyzing some past traffic models,a new prediction model was established.In this model,Internet traffic was pretreated with wavelet method at first.Then,linear NN(Neural Network) and Elman NN were used respectively to make prediction.Therefore,the correlation and non-stationary characteristics of the traffic could be described.Finally,the two predictions were combined into the final result through BP neural network.Through one-step and multi-step prediction simulations on different kinds of traffic respectively,it is verified that the combined model can predict more precisely than the individual model.
【Fund】: 山东省自然科学基金资助项目(Y2001G05);; Cisco教育科研资助计划资助项目(PO135006928)
【CateGory Index】: TP393.06
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