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›› 2004, Vol. 30 ›› Issue (05): 77-80.

• 论文 • 上一篇    下一篇

基于Neuro-Fuzzy方法的Web服务器访问流量预测

周咏梅,阳爱民   

  1. 株洲工学院计算机系,株洲工学院计算机系 株洲 412008,株洲 412008;复旦大学计算机技术与信息系,上海 200433
  • 发布日期:2004-03-15

Traffic Prediction of Accessing Web Server Based on Neuro-Fuzzy Method

ZHOU Yongmei1,YANG Aimin1,2   

  1. (1.Department of Computer Science, Zhuzhou Institute of Technology, Zhuzhou 412008 ; 2. Department of Computer Technology and Information, Fudan University ,Shanhai 200433 )
  • Published:2004-03-15

摘要: Neuro-Fuzzy方法是将神经网络和模糊逻辑进行有机的结合,用于解决复杂的非线性问题;用它来进行Web服务器流量预测,是一种新的思路和方法。该文介绍了模型构造的基本思想、结构、算法,也介绍了进化式聚类方法和预测过程;同时,给出了实验数据及分析。

关键词: Neuro-fuzzy方法, Web流量预测, 进化式聚类方法

Abstract: The neuro-fuzzy method which integrates artificial neural network(ANN) and fuzzy logic is often used to solve the complex and non-linear questions.It is a new idea and approach to forecast Web traffic by using neuro-fuzzy method. This article introduces the base idea,structure and arithmetic about this model. Also the evolving clustering method and the process of forecasting are introduced. At the same,the experiment data and analysis are provided.

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