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Titlebook: Computer Networks; 18th Conference, CN Andrzej Kwiecień,Piotr Gaj,Piotr Stera Conference proceedings 2011 Springer-Verlag GmbH Berlin Heid

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https://doi.org/10.1007/978-3-540-88142-1gorithm was presented in [1,2] as forecasting the stock market. This publication presents the results of appliance of this predictor for the internet traffic forecasting. It will be used in the network traffic prediction system so therefore the need of its exploration. The main contribution of the a
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/c/image/233654.jpg
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The Least Squares SVM Approach for a Non-linear Channel Prediction in the MIMO System,method for the channel prediction which is based on the Least Squares Support Vector Machine (SVM). We develop a new method for the channel which allows us to predict a signal. The proposed method is evaluated through simulation in a MIMO system under a channel prediction.
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Identification of the Web Server,ments making possible to obtain required simulation model parameters of real Web server is introduced. The experiment resulsts and calculated values of parameter of specified Web server are presented. In the end the program written with use of the CSIM 19 package simulating operations of the Web server is discussed.
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