Publication detail
Training a neural Network for a New Node element design
ŠKORPIL, V. PŘECECHTĚL, R.
Original Title
Training a neural Network for a New Node element design
English Title
Training a neural Network for a New Node element design
Type
journal article - other
Language
Czech
Original Abstract
This paper describes training a neural network for a new node element design. Neural networks are used to control network nodes instead of the control by sequential circuits. This article primarily discusses the management of routers. Routers are generally able to use all available topologies of a network. Simulation in MATLAB-SIMULINK has tested how the training networks route the given packets. It has been shown that Artificial Neural Networks (ANN) are suitable for the described aim.
English abstract
This paper describes training a neural network for a new node element design. Neural networks are used to control network nodes instead of the control by sequential circuits. This article primarily discusses the management of routers. Routers are generally able to use all available topologies of a network. Simulation in MATLAB-SIMULINK has tested how the training networks route the given packets. It has been shown that Artificial Neural Networks (ANN) are suitable for the described aim.
Keywords
Artificial Neural Network; Network Node; MATLAB –SIMULINK; Routing
Key words in English
Artificial Neural Network; Network Node; MATLAB –SIMULINK; Routing
Authors
ŠKORPIL, V.; PŘECECHTĚL, R.
RIV year
2013
Released
12. 2. 2013
ISBN
0033-2097
Periodical
Przeglad Elektrotechniczny
Year of study
2013
Number
2b
State
Republic of Poland
Pages from
187
Pages to
192
Pages count
5
BibTex
@article{BUT96854,
author="Vladislav {Škorpil} and Roman {Přecechtěl}",
title="Training a neural Network for a New Node element design",
journal="Przeglad Elektrotechniczny",
year="2013",
volume="2013",
number="2b",
pages="187--192",
issn="0033-2097"
}