Application of Nonlinear Combination Prediction Model for Network Traffic

摘要：

　　To improve the network traffic prediction result,the paper put forward a nonlinear combination prediction model of network traffic flow.First,the single models of ARIMA,ARMA,GM (1,1) were used in the prediction of characteristics of network traffic,Then three predicting results were input to a support vector machine for data fusion to obtain the final forecasting result.The simulation results show that,compared with the other network traffic prediction models,the nonlinear combination forecasting model can well reflect the complex changes in network traffic,thereby improves the prediction accuracy of network traffic.

关键词： Network traffic Support vector machine (SVM) Prediction model Combination

作者: Aitao Zhao Yingchun Liu

作者单位: Shijiazhuang Vocational Technology Institute,Department of Information Technology Shijiazhuang,China Shijiazhuang Vocational Technology Institute,Modern Education Technology Center Shijiazhuang,China

会议类型: 国际会议

会议名称: the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

会议地点: 沈阳

会议语种:英文

页码: 2337-2340

在线出版日期: 2012-09-26（万方平台首次上网日期，不代表论文的发表时间）