Nonlinear Prediction of Network Traffic Measurements Data

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.

作者: Qing-Fang Meng Yuehui Chen Yuhua Peng Wei Li

作者单位: School of Information Science and Engineering, University of Jinan, Jinan 250022, China School of In School of Information Science and Engineering, University of Jinan, Jinan 250022, China School of Information Science and Engineering, Shandong University, Jinan 250100, China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 336-339

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）