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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper describes the analysis of algorithms for the hidden layer construction of network and for learning of the Radial Basis Function neural Network (RBFN). We compared results obtained by using of learning algorithms LMS (Least Mean Square) and Gradient Algorithms (GA) and results are obtained by using of algorithms APC-III and K-means for hidden layer contruction of neural network. The principles and algorithms given below have been used in an application for object classification that was developed at Brno University of Technology. This solution is suitable for the research of personal wireless communications and similar systems. This paper describes the analysis of algorithms for the hidden layer construction of network and for learning of the Radial Basis Function neural Network (RBFN). We compared results obtained by using of learning algorithms LMS (Least Mean Square) and Gradient Algorithms (GA) and results are obtained by using of algorithms APC-III and K-means for hidden layer contruction of neural network. The principles and algorithms given below have been used in an application for object classification that was developed at Brno University of Technology. This solution is suitable for the research of personal wireless communications and similar systems. (en)
Title	Analysis of Algorithms for Radial Basis Function Neural Network. Springer Verlag: Analysis of Algorithms for Radial Basis Function Neural Network. Springer Verlag: (en)
skos:prefLabel	Analysis of Algorithms for Radial Basis Function Neural Network. Springer Verlag: Analysis of Algorithms for Radial Basis Function Neural Network. Springer Verlag: (en)
skos:notation	RIV/00216305:26220/07:PU71860!RIV10-MSM-26220___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(2E06034), P(GA102/07/1503), Z(MSM0021630513)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Šťastný, Jiří Škorpil, Vladislav
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	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	409435
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/07:PU71860
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Radial basis function, Learning algorithm, Neuron, Hidden layer. (en)
http://linked.open.../riv/klicoveSlovo	Radial basis function Neuron Learning algorithm Hidden layer.
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[C376906016E4]
http://linked.open...i/riv/nazevZdroje	Mobile and Wireless Communication Networks
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Lifetime education and professional preparation in the field of telematics, teleinformatic and transport telematics Advanced Optimizing the Design of Communication Systems via neural networks
http://linked.open...UplatneniVysledku	2007
http://linked.open...v/svazekPeriodika	2007
http://linked.open...iv/tvurceVysledku	Škorpil, Vladislav Šťastný, Jiří
http://linked.open...ain/vavai/riv/wos	000250717300005
http://linked.open...n/vavai/riv/zamer	Advanced Electronic Communication Systems and Technologies (ELCOM)
issn	1571-5736
number of pages	9 (xsd:int)
http://localhost/t...ganizacniJednotka	26220
is http://linked.open...avai/riv/vysledek of	Analysis of Algorithms for Radial Basis Function Neural Network. Springer Verlag: Analysis of Algorithms for Radial Basis Function Neural Network. Springer Verlag: Analysis of Algorithms for Radial Basis Function Neural Network. Springer Verlag:

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