Neural Network Models for Internet Traffic Prediction

  • G. Rutka Riga Technical University

Abstract

This paper presents a view of models used for Internet data (traffic) prediction using neural network applications. We look at the problem of traffic prediction in the presence of self-similarity. Self-similarity is an important characteristic of traffic in high-speed networks that cannot be captured by traditional traffic models. Our experiments inspect performance using multilayer perceptrons and radial basis function networks. Ill. 1, bibl. 4 (in English; summaries in English, Russian and Lithuanian).

Published
2006-04-19
How to Cite
Rutka, G. (2006). Neural Network Models for Internet Traffic Prediction. Elektronika Ir Elektrotechnika, 68(4), 55-58. Retrieved from http://eejournal.ktu.lt/index.php/elt/article/view/10651
Section
T 180 TELECOMMUNICATION ENGINEERING