A Neuro-Fuzzy Method of forecasting the network traffic of accessing Web Server

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.