计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (19): 85-88.

• 网络、通信、安全 • 上一篇    下一篇

一种新的网络流量组合预测模型

段谟意   

  1. 南京铁道职业技术学院 软件学院,南京 210031
  • 出版日期:2012-07-01 发布日期:2012-06-27

New combination prediction model of network traffic

DUAN Moyi   

  1. School of Software, Nanjing Railway Vocational and Technical College, Nanjing 210031, China
  • Online:2012-07-01 Published:2012-06-27

摘要: In order to improve the prediction accuracy of network traffic, a novel prediction traffic method is proposed. In this model, wavelet transform is used to network decomposition at first, and each component is predicted by Support Vector Machine(SVM), so as to reconstruct the prediction results. Then, the simulation is conducted to study on the different prediction model. The results show that this model has good performance, and the prediction accuracy is 6.347.

关键词: combination prediction model, wavelet decomposition and reconstruction, Support Vector Machine(SVM) model, αTrous algorithm

Abstract: In order to improve the prediction accuracy of network traffic, a novel prediction traffic method is proposed. In this model, wavelet transform is used to network decomposition at first, and each component is predicted by Support Vector Machine(SVM), so as to reconstruct the prediction results. Then, the simulation is conducted to study on the different prediction model. The results show that this model has good performance, and the prediction accuracy is 6.347.

Key words: combination prediction model, wavelet decomposition and reconstruction, Support Vector Machine(SVM) model, αTrous algorithm