Genetic Neural Networks for Modeling Dipole Antennas
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F04%3APU45464" target="_blank" >RIV/00216305:26220/04:PU45464 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Genetic Neural Networks for Modeling Dipole Antennas
Original language description
The paper deals with original genetic neural networks for modeling wire dipole antennas. A novel approach to learning artificial neural networks (ANN) by genetic algorithms (GA) is described. The goal is to compare the learning abilities of neural antenna models trained by the GA and models trained by gradient algorithms. Developing the original design method based on genetic models of designed electromagnetic structures is the motivation of this work. Two types of ANN, the recurrent Elman ANN and the ffeed-forward one, are implemented in MATLAB. Results of training abilities are discussed.
Czech name
Genetické neuronové sítě pro modelování drátových antén
Czech description
V článku jsou popsány umělé neuronové sítě (UNS) trénované k modelová dipólové antény. Dva typy UNS jsou trénovány gradientmími metodami a genetickým algoritmem. Trénovací schponosti jsou vzájemně porovnány.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceeding of the 4th WSEAS International Conference on Applied Informatics and Communications
ISBN
960-8457-06-8
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
156-160
Publisher name
The World Scientific and Egineering Academy and Society
Place of publication
Puerto De La Cruz, Tenerife
Event location
Puerto De La Cruz, Tenerife, Canary Islands
Event date
Dec 17, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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