DocumentCode :
3273752
Title :
Modelling and Prediction of Internet Time-Delay by Feed-Forward Multi-layer Perceptron Neural Network
Author :
Tabib, S. R Seyed ; Jalali, Ali A.
fYear :
2008
fDate :
1-3 April 2008
Firstpage :
611
Lastpage :
616
Abstract :
Internet time-delay prediction plays a key role in improving dynamic performance for many applications, especially for Internet-based tele-operation systems. Therefore, ideal prediction approach for Internet time-delay must be investigated emphatically. In this paper, after analayzing Internet time-delay, a new approach based on neural network is developed to predict the uncertain time-delay in the Internet. By using measured data between four Internet nodes and MATLAB environment, the feed-forward multi-layer perceptron (FMLP) neural network has been trained with single-step-ahead Prediction algorithm. Then, using validation data, the performance of the neural network was evaluated. It is shown that this neural network can predict time-delay based on their proper inputs.
Keywords :
Feedforward neural networks; Feedforward systems; IP networks; Internet; MATLAB; Mathematical model; Multi-layer neural network; Multilayer perceptrons; Neural networks; Predictive models; FMLP; Internet Time Delay; Prediction; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modeling and Simulation, 2008. UKSIM 2008. Tenth International Conference on
Conference_Location :
Cambridge, UK
Print_ISBN :
0-7695-3114-8
Type :
conf
DOI :
10.1109/UKSIM.2008.93
Filename :
4489002
Link To Document :
بازگشت