Network Elements Controlled by Artificial Neural Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU87882" target="_blank" >RIV/00216305:26220/10:PU87882 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Network Elements Controlled by Artificial Neural Network
Original language description
This paper describes the comparison between the well-known Network Element in the converged network with classical sequence data processing and the new designed advanced switch controlled by Artificial Neural Network. Simulation programme Opnet Modeler is used for the simulation. The main problem is priority keeping. It is known, that modelling of nonlinear and complicated systems contains problems of process describing and algorithm development. Systems can be very complicated and mathematical description gets near next to impossible. Artificial Neural Networks solve this problem fast and well-arranged.
Czech name
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Czech description
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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
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 14th WSEAS International Conference on Communications
ISBN
978-960-474-200-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
WSEAS
Place of publication
Corfu Island, Greece
Event location
Corfu
Event date
Jul 23, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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