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ŠKORPIL, V. POLÍVKA, M.
Original Title
Parallel WAN Switch Based on Neural Network
Type
conference paper
Language
English
Original Abstract
The article deals with a WAN switch design based on a Feedforward neural network, specifically for the Feedforward Backpropagation algorithm. The designed switch is fully parallel, uses neural network for switch management and also for traffic engineering. The switch uses advanced packet dropping mechanism. The article describes the switch design (network processor design) and compares the developed switch with other "conventional" architectures. Architectures and performance are then compared.
Keywords
MATLAB, model, network, neural network, switch, switch algorithm
Authors
ŠKORPIL, V.; POLÍVKA, M.
RIV year
2012
Released
14. 7. 2012
Publisher
WSEAS Press
ISBN
978-1-61804-109-8
Book
Recent Researches in Communications and Computers
Edition number
1
Pages from
68
Pages to
72
Pages count
5
BibTex
@inproceedings{BUT93291, author="Vladislav {Škorpil} and Michal {Polívka}", title="Parallel WAN Switch Based on Neural Network", booktitle="Recent Researches in Communications and Computers", year="2012", number="1", pages="68--72", publisher="WSEAS Press", isbn="978-1-61804-109-8" }