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基于Neuro-Fuzzy方法的Web服务器访问流量预测

Traffic Prediction of Accessing Web Server Based on Neuro-Fuzzy Method
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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。 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.
出处 《计算机工程》 CAS CSCD 北大核心 2004年第5期77-80,共4页 Computer Engineering
关键词 Neuro-Fuzzy方法 Web流量预测 进化式聚类方法 Neuro-fuzzy method Web traffic prediction Evolving clustering method
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参考文献4

  • 1Abraham A.Neuro-Fuzzy Systems:State of the Art Modeling Techniques[].Connectionist Models of NeuronsLearning Processesand Artificial Intelli-gence.2001
  • 2Abraham A,Nath B.Evolutionary Design of Fuzzy Control Systems——An Hybrid Approach[].Proceedings of The Sixth International Conference on Control Automation Robotics andVision (CD ROM Proceeding).2000
  • 3Ng A,Smith K A.Web Usage Mining by a Self-organizing Map[].Smart Engineering System Design: Neural Networks Fuzzy Logic Evolutionary Programming Data Mining and Complex Systems.2000
  • 4.Monash University Weekly Website User Access Statistics[].<http:// wwwmonasheduau/servers/stats/main/〉.

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