Training a neural Network for a New Node element design

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU101712" target="_blank" >RIV/00216305:26220/13:PU101712 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
čeština
Original language name
Training a neural Network for a New Node element design
Original language description
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.
Czech name
Training a neural Network for a New Node element design
Czech description
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.

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Project
<a href="/en/project/ED2.1.00%2F03.0072" target="_blank" >ED2.1.00/03.0072: Centre of sensor, information and communication systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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