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Neural network model to group traffic in backbone network
Author(s)
Date Issued
January 1, 2011
Type
Conference Paper
Abstract
This paper proposes a new grouping method for telecommunication network backbone by applying neural network concept. For the experimental results, the traffic dispersion to destination are collected from originated traffic observation in each node and then compared with the resulted from back propagation network model with conventional method. This paper shows that the grouping method which applying neural network is convenient for backbone network, configuration. This method cans effectively group the traffic flow between nodes, and dimensioning for each link, can be done appropriately.
Citation
Procedia Engineering, 8, 47-52, 2011