期刊文献+

基于支持向量回归学习机的网络流量预测 被引量:11

Network Flowing Prediction Based on SVR
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摘要 对最小二乘支持向量机的回归算法做了改进,并将其应用到网络流量预测中,在linux下编写网络抓包程序,统计出一个网段节点的流量,与文中算法所得到的预测结果进行对比,实验结果表明,将最小二乘支持向量机用于网络流量的预测,可以取得令人满意的效果. An improved least squares supporting vectoring recursive machine is used in network flowing prediction. Tested by running program with packet capture in linux system, the result shows that the algorithm achieves good performance in network flowing prediction.
作者 叶苗 王勇
出处 《桂林工学院学报》 北大核心 2007年第2期282-284,共3页 Journal of Guilin University of Technology
基金 广西自然科学基金资助项目(桂科基0575094)
关键词 支持向量机 网络流量 回归预测 SVR network flowing prediction
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参考文献5

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同被引文献52

  • 1叶美盈,汪晓东,张浩然.基于在线最小二乘支持向量机回归的混沌时间序列预测[J].物理学报,2005,54(6):2568-2573. 被引量:104
  • 2雷霆,余镇危.一种网络流量预测的小波神经网络模型[J].计算机应用,2006,26(3):526-528. 被引量:33
  • 3冯海亮,陈涤,林青家,陈春晓.一种基于神经网络的网络流量组合预测模型[J].计算机应用,2006,26(9):2206-2208. 被引量:28
  • 4王升辉,裘正定.结合多重分形的网络流量非线性预测[J].通信学报,2007,28(2):45-50. 被引量:41
  • 5Eslam Pourbasheer, Siavash Riahi, Mohammad Reza Ganjali, Par- viz Norouzi. Application of genetic algorithm-support vector ma- chine (GA-SVM) for prediction of BK-charmels activity[ J]. Eu- ropean Journal of Medicinal Chemistry, 2009,44 ( 12 ) : 5023 - 5028.
  • 6Huang Cheng-Lung, Wang Chieh-Jen. A CA-based feature se- lection and parameters optimizationfor support vector machines[ J ]. Expert Systems with Applications, 2006,31 ( 2 ) :231-240.
  • 7Lin Shih-Wei, Ying Kuo-Ching, Chen Shih-Chieh, Lee Zne- Jung. Particle swarm optimization for parameter determination and feature selection of support vector machines [ J ]. Expert Systems with Applications, 2008,35(4) :1817-1824.
  • 8Lin Shih-Wei, Ying Kuo-Ching, Chen Shih-Chieh, Lee Zne- .lung. Particle swarm optimization for parameter determination and feature selection of support vector machines [ J ]. Expert Systems with Applications, 2008,35 (4) : 1817-1824.
  • 9Down Comaniciu, Peter Meer. Mean Shift:A Robust Approach To- ward Feature Space Analysis[ J]. IEEE Transaction on Pattern A- nalysis and Machine Intelligence, 2002,24(5) : 603-619.
  • 10CHEN Z, DELLS A, WEI P. A Pragmatic Methodology for Testing Intrusion Prevention Systems[J]. Computer Journal, 2009, 52(4): 429-460.

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