• 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