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小波方法在因特网数据流量预测建模中的应用 被引量:3

Application of Wavelet Method in Internet Data Flow Forcast Modeling
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摘要 文章回顾了传统话务理论数学模型—Poisson分布;指出了Poisson模型不适应高速发展的因特网的业务数据流量分析;分析了小波变换在Internet数据流量分析、预测中的作用。 In this paper,POTS mathematic model,Poisson distribution,be reviewed.Poisson model be pointed out that does not adapt to analysis Internet services data flow.wavelet transform is very important tool to forecast and to model Internet data flow.
出处 《计算机工程与应用》 CSCD 北大核心 2001年第23期35-36,共2页 Computer Engineering and Applications
基金 国家自然科学基金(编号:50077008)
关键词 INTERNET 数据流量 建模 预测 小波变换 Poisson distribution,wavelet transform,non-stable time series forecasting
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参考文献2

  • 1Yu I,Electric Machines and Power Systems,2000年,28卷,537页
  • 2Zheng T,Electric Power Systems Research,2000年,54卷,11页

同被引文献25

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  • 2谭晓玲,许勇,张凌,梅成刚,刘兰.基于小波分解的网络流量模型[J].计算机工程与应用,2005,41(9):126-128. 被引量:6
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  • 7Chen Bor - Sen, Peng Sen - Chueh, Wang Ku - Chen. Traffic Modeling, Prediction, and Congestion Control for HighSpeed Networks: A Fuzzy AR Approach[ J ]. IEEE Transaction on Fuzzy Systems,2000,8(5) :491 - 506.
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