%0 Journal Article
%T Study on network traffic prediction of C-SVM based on IPSO<br>基于IPSO混沌支持向量机的网络流量预测研究
%A YIN Bo
%A XIA Jing-bo
%A FU Kai
%A CHEN Mao
%A <br>尹　波
%A 夏靖波
%A 付　凯
%A 陈　茂
%J 计算机应用研究
%D 2012
%I 
%X Aiming the limitation of the conventional parameter optimized algorithm in C-SVM, this paper proposed an IPSO algorithm. The algorithm extended the search time in the beginning and final phase of the iterative course, in order to achieve the balance between global and local search capabilities. Then it optimized the parameters of C-SVM, and built the prediction model of C-SVM based on IPSO. The results of application example show that the model is efficient in network traffic prediction with higher optimized efficiency, prediction accuracy and better stability.
%K network traffic prediction
%K chaos support vector machine（C-SVM）
%K improved particle swarm optimization （IPSO） algorithm
%K genetic algorithm（GA）<br>网络流量预测
%K 混沌支持向量机
%K 改进粒子群算法
%K 遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F6B2E1193D3BD8E6C189DEB42C9804E3&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=3B842FC897F6A147&eid=A463026C6796336E&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9