A Neuro-Fuzzy Method of Forecasting the Network Traffic of Accessing Web Server

机译：预测访问Web服务器网络流量的神经模糊方法

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It is a new idea and approach to forecast Web traffic basing on Neuro-Fuzzy Method. The log files on a Web Server include many useful information about users. In this paper, by analyzing log files the forecasting model is proposed and the basic idea, structure and algorithm of this model are introduced. The Dynamic Clustering Method and Neural Network learning method are introduced also. Experimental results show that the proposed method is very helpful for improving the administration of Web Server and quality of service and forecasting the action of users.

机译：它是一种基于神经模糊方法的Web流量预测的新思路和新方法。 Web服务器上的日志文件包含许多有关用户的有用信息。通过对日志文件的分析，提出了一种预测模型，并介绍了该模型的基本思想，结构和算法。还介绍了动态聚类方法和神经网络学习方法。实验结果表明，该方法对改善Web Server的管理和服务质量以及预测用户的行为非常有帮助。

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来源
《International Conference on Fuzzy Systems and Knowledge Discovery(FSKD 2005) pt.1; 20050827-29; Changsha(CN)》|2005年|P.728-734|共7页
会议地点 Changsha(CN)
作者
Ai-Min Yang; Xing-Min Sun; Chang-Yun Li; Ping Liu;
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作者单位

Department of Computer Science, Zhuzhou Institute of Technology, Hunan 412008, P.R. China;

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原文格式 PDF
正文语种 eng
中图分类专家系统、知识工程;
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2. A Traffic Forecasting Method with Function to Control Residual Error Distribution for IP Access Networks [J] . Takeshi KITAHARA, rnHiroki FURUYA, rnHajime NAKAMURA IEICE Transactions on Communications . 2010,第1期

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4. A Neuro-Fuzzy Method of Forecasting the Network Traffic of Accessing Web Server [C] . Ai-Min Yang, Xing-Min Sun, Chang-Yun Li, International Conference on Fuzzy Systems and Knowledge Discovery . 2005

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A Neuro-Fuzzy Method of Forecasting the Network Traffic of Accessing Web Server

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