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Intelligent methods for simulation in ATM networks

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2 Author(s)
Radev, D. ; Dept. of Commun. Technique & Technol., Univ. of Rousse, Bulgaria ; Radeva, S.

The paper presents results from a number of investigations into the problems of implementing intelligent methods in the prediction and simulation of ATM traffic, based on time series and state models. A prognosis method based on a neuro-fuzzy model and learning vector quantization (LVQ) is suggested The implementation for stochastic and long range dependence source models is shown.

Published in:

Mobile Future and Symposium on Trends in Communications, 2003. SympoTIC '03. Joint First Workshop on

Date of Conference:

26-28 Oct. 2003