标题:Nonlinear Prediction of Network Traffic Measurements Data
作者:Meng, Qing-Fang; Chen, Yuehui; Peng, Yuhua; Li, Wei
通讯作者:Meng, QF
作者机构:[Meng, Qing-Fang; Chen, Yuehui; Li, Wei] Univ Jinan, Sch Informat Sci & Engn, Jinan 250022, Peoples R China.; [Meng, Qing-Fang; Peng, Yuhua] Shandon 更多
会议名称:2nd International Joint Conference on Computational Sciences and Optimization (CSO)
会议日期:APR 24-26, 2009
来源:INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 1, PROCEEDINGS
出版年:2009
页码:336-+
DOI:10.1109/CSO.2009.293
摘要:In this paper we apply the nonlinear time series prediction method to the traffic measurements data. Based on the phase space reconstruction, the support vector machine prediction method is used to predict the traffic measurements data, and the neighbor point selection method is used to choose the number of nearest neighbor points for the support vector machine regression model. The experiment results show that the nonlinear time series prediction method can effectively predict the traffic measurements data and the prediction error mainly concentrates on the vicinity of zero.
收录类别:CPCI-S
资源类型:会议论文
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