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基于支持向量机补偿的灰色模型网络流量预测

Grey Model of Network Traffic Prediction Based on Support Vector Machines

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【作者】 钱渊宋军傅珂

【Author】 QIAN Yuan1,SONG Jun2,FU Ke1(1.Telecommunication Engineering Institute,Air Force Engineering University,Xi’an 710077,China; 2 Science and Technology on Electromechanical Dynamic Control Laboratory,Xi’an 710065,China)

【机构】 空军工程大学电讯工程学院机电动态控制重点实验室

【摘要】 针对网络测量与控制技术中提高流量预测准确性的问题,提出基于支持向量机残差补偿的灰色模型网络流量预测模型。该模型采用灰色模型进行趋势预测,支持向量机进行残差序列预测,实现残差补偿。实验结果表明:该模型具有预测模型样本小,预测精度高等优点,适合于网络流量预测。

【Abstract】 In order to improve flow prediction precision in network measurement and control technology,a method of grey model and support vector machines regression was used for traffic flow prediction.The trend was forecasted by grey model.Residual sequence was forecasted by SVM.Predictions were added to the result of grey model of network traffic.This method could modify grey model of network traffic.Experiment results showed the modle was of small forecast model sample and high accuracy,and could effectively predict the network traffic.

【基金】 陕西省自然科学基金项目资助(SJ08F14,2009JQ8008)
  • 【文献出处】 探测与控制学报 ,Journal of Detection & Control , 编辑部邮箱 ,2012年01期
  • 【分类号】TP393.06
  • 【被引频次】11
  • 【下载频次】143
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