%0 Journal Article
%T A Combined Prediction Model of Internet Traffic Based on Neural Network<br>一种基于神经网络的网络流量组合预测模型
%A FENG Hai-liang
%A CHEN Di
%A LIN Qing-jia
%A CHEN Chun-xiao
%A <br>冯海亮
%A 陈涤
%A 林青家
%A 陈春晓
%J 计算机应用
%D 2006
%I 
%X 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.
%K traffic
%K correlation
%K non-stationary
%K NN(Neural Network)
%K prediction<br>流量
%K 相关
%K 非平稳
%K 神经网络
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=1620C6C790F3D1DB&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=9CF7A0430CBB2DFD&sid=62486607C4A4CE2B&eid=A1422FF8DA61F4C2&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9