%0 Journal Article
%T Network Traffic Predicting Based on Wavelet Transform and Autoregressive Model<br>基于小波变换与自回归模型的网络流量预测
%A BAI Xiang-Yu
%A YE Xin-Ming
%A JIANG Hai
%A <br>白翔宇
%A 叶新铭
%A 蒋海
%J 计算机科学
%D 2007
%I 
%X Network traffic prediction based on wavelet transform and autoregressive model is proposed. The original discrete series consisting of network traffic data is decomposed into approximate series and several detail series. The result of single branch reconstruction of each decomposed series is more unitary than the original series in frequency, and it can be built traffic model with autoregressive model. The prediction of the original series can be obtained by the synthesis of each reconstructed series prediction result. As shown in a set of experiments, the novel method is of higher accuracy in comparison with the traditional ones.
%K Traffic prediction
%K Wavelet transform
%K Mallat algorithm
%K Autoregressive model<br>流量预测
%K 小波变换
%K Mallat算法
%K 自回归模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=1E8759907DE65478CF9CCBA8E43F2022&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=DF92D298D3FF1E6E&sid=F4B561950EE1D31A&eid=2A3781E88AB1776F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=3&reference_num=11