About: Genetic Neural Networks for Modeling Dipole Antennas

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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 feed-forward one, are implemented in MATLAB. Results of training abilities are discussed. 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 feed-forward one, are implemented in MATLAB. Results of training abilities are discussed. (en)
Title	Genetic Neural Networks for Modeling Dipole Antennas Genetic Neural Networks for Modeling Dipole Antennas (en)
skos:prefLabel	Genetic Neural Networks for Modeling Dipole Antennas Genetic Neural Networks for Modeling Dipole Antennas (en)
skos:notation	RIV/00216305:26220/04:PU45464!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita	P V Z
http://linked.open...avai/riv/aktivity	P(GA102/04/1079), P(GD102/03/H086), V, Z(MSM 262200011), Z(MSM 262200022)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Šmíd, Petr Raida, Zbyněk Lukeš, Zbyněk
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	565335
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/04:PU45464
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	artificial neural networks, genetic algorithm, wire dipole antenna (en)
http://linked.open.../riv/klicoveSlovo	wire dipole antenna artificial neural networks genetic algorithm
http://linked.open...ontrolniKodProRIV	[1EB60B0FB5CB]
http://linked.open...v/mistoKonaniAkce	Puerto De La Cruz, Tenerife, Canary Islands
http://linked.open...i/riv/mistoVydani	Puerto De La Cruz, Tenerife
http://linked.open...i/riv/nazevZdroje	Proceeding of the 4th WSEAS International Conference on Applied Informatics and Communications
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Novel approach and coordination of doctoral education in radioelectronics and related disciplines Non-conventional methods of modeling and optimization of microwave structures
http://linked.open...UplatneniVysledku	2004
http://linked.open...iv/tvurceVysledku	Raida, Zbyněk Šmíd, Petr Lukeš, Zbyněk
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2004-12-17 (xsd:date)
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20262200011 http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20262200022
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	The World Scientific and Egineering Academy and Society
https://schema.org/isbn	960-8457-06-8
http://localhost/t...ganizacniJednotka	26220

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