Detail publikace

Training a neural Network for a New Node element design

ŠKORPIL, V. PŘECECHTĚL, R.

Originální název

Training a neural Network for a New Node element design

Anglický název

Training a neural Network for a New Node element design

Typ

článek v časopise - ostatní, Jost

Jazyk

čeština

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Artificial Neural Network; Network Node; MATLAB –SIMULINK; Routing

Klíčová slova v angličtině

Artificial Neural Network; Network Node; MATLAB –SIMULINK; Routing

Autoři

ŠKORPIL, V.; PŘECECHTĚL, R.

Rok RIV

2013

Vydáno

12. 2. 2013

ISSN

0033-2097

Periodikum

Przeglad Elektrotechniczny

Ročník

2013

Číslo

2b

Stát

Polská republika

Strany od

187

Strany do

192

Strany počet

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"
}