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基于Neuro-Fuzzy方法的Web服务器访问流量预测

Forecasting traffic of accessing Web server basing on neuro-fuzzy method

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【作者】 阳爱民周咏梅孙星明周序生

【Author】 Yang Aimin Zhou Yongmei Sun Xingmin Zhou Xusheng Assoc. Prof.; Network Center, Zhuzhou Institute of Technology, Zhuzhou 412008, Hunan, China.

【机构】 株洲工学院网络中心株洲工学院计算机系株洲工学院网络中心

【摘要】 Neuro Fuzzy方法是将神经网络和模糊逻辑有机的结合 ,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 .主要介绍了模型构造的基本思想、结构、算法以及实验数据

【Abstract】 The log files on a Web Server include many useful information about users. It is very helpful for improving the administration of Web Server and quality of service than forecasting the users′action by analyzing log files and creating the corresponding model. 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.

【基金】 国家自然科学基金资助项目 (6 0 1730 2 7)
  • 【文献出处】 华中科技大学学报(自然科学版) ,Journal of Huazhong University of Science and Technology , 编辑部邮箱 ,2003年S1期
  • 【分类号】TP393.05
  • 【被引频次】1
  • 【下载频次】68
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