%0 Journal Article
%T Application of Chaos-support Vector Machine Regression in Traffic Prediction<br>混沌一支持向量机回归在流量预测中的应用研究
%A LUO Yun-qian
%A XIA Jing-bo
%A WANG Huan-bin
%A <br>罗赟骞
%A 夏靖波
%A 王焕彬
%J 计算机科学
%D 2009
%I 
%X A traffic forecasting model based on the support vector machine(SVM) and chaos was developed to improve the accuracy of the traffic prediction.Based on the phase space reconstruction,it calculates the real-time traffic's delay time,embedded dimension and Lyapunov exponent,and proves that the traffic chaos phenomena exists.That a chaos-SVM model was constructed and pairs of training samples was determined to forecast the real network traffic.The results show that the chaos-SVM model is able to predict networ...
%K Support vector machine(SVM)
%K Traffic prediction
%K Regression
%K Chaos<br>支持向量机
%K 流量预测
%K 回归
%K 混沌
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=FBAD6F31EA59F5EC1D2DB69FBCEF5D37&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=DF92D298D3FF1E6E&sid=5B5B75F4854B8331&eid=28F9D9CF04F424FF&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=15