About: Enhancing the Accuracy of Microwave Element Models by Artificial Neural Networks

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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	Není k dispozici (cs) In the recent PSpice programs, five types of the GaAs FET model have been implemented. However, some of them are too sophisticated and therefore very difficult to measure and identify afterwards, especially the realistic model of Parker and Skellern. In the paper, simple enhancements of one of the classical models are proposed first. The resulting modification is usable for the accurate modeling of both GaAs FETs and pHEMTs. Moreover, its updated capacitance function can serve as an accurate representation of microwave varactors, which is also important. The precision of the updated models can be strongly enhanced using the artificial neural networks. In the paper, both using an exclusive neural network without an analytic model and cooperating a corrective neural network with the updated analytic model will be discussed. In the recent PSpice programs, five types of the GaAs FET model have been implemented. However, some of them are too sophisticated and therefore very difficult to measure and identify afterwards, especially the realistic model of Parker and Skellern. In the paper, simple enhancements of one of the classical models are proposed first. The resulting modification is usable for the accurate modeling of both GaAs FETs and pHEMTs. Moreover, its updated capacitance function can serve as an accurate representation of microwave varactors, which is also important. The precision of the updated models can be strongly enhanced using the artificial neural networks. In the paper, both using an exclusive neural network without an analytic model and cooperating a corrective neural network with the updated analytic model will be discussed. (en)
Title	Není k dispozici (cs) Enhancing the Accuracy of Microwave Element Models by Artificial Neural Networks Enhancing the Accuracy of Microwave Element Models by Artificial Neural Networks (en)
skos:prefLabel	Není k dispozici (cs) Enhancing the Accuracy of Microwave Element Models by Artificial Neural Networks Enhancing the Accuracy of Microwave Element Models by Artificial Neural Networks (en)
skos:notation	RIV/68407700:21230/04:03100141!RIV/2005/MSM/212305/N
http://linked.open.../vavai/riv/strany	7 ; 12
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM 212300014)
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2005
http://linked.open...aciTvurceVysledku	Dobeš, Josef
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	562911
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/04:03100141
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	CAD; FET; GaAs; artificial neural network; microwave varactor; pHEMT; parameters extraction (en)
http://linked.open.../riv/klicoveSlovo	CAD GaAs artificial neural network FET parameters extraction microwave varactor pHEMT
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[6B70A8B0EC7B]
http://linked.open...i/riv/nazevZdroje	Radioengineering
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2004
http://linked.open...v/svazekPeriodika	13
http://linked.open...iv/tvurceVysledku	Dobeš, Josef Pospíšil, L.
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20212300014
issn	1210-2512
number of pages	6 (xsd:int)
http://localhost/t...ganizacniJednotka	21230

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