About: Neural Networks Learning Methods Comparison

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) neural network was used. We compared results obtained by a using of different learning algorithms - the classical Back propagation algorithm (BP) and the Genetic algorithm (GA). The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an appliication that was developed at Brno University of Technology. The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) neural network was used. We compared results obtained by a using of different learning algorithms - the classical Back propagation algorithm (BP) and the Genetic algorithm (GA). The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an appliication that was developed at Brno University of Technology. (en) The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) neural network was used. We compared results obtained by a using of different learning algorithms - the classical Back propagation algorithm (BP) and the Genetic algorithm (GA). The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an appliication that was developed at Brno University of Technology. (cs)
Title	Neural Networks Learning Methods Comparison Neural Networks Learning Methods Comparison (en) Porovnání učících metod neuronových sítí (cs)
skos:prefLabel	Neural Networks Learning Methods Comparison Neural Networks Learning Methods Comparison (en) Porovnání učících metod neuronových sítí (cs)
skos:notation	RIV/00216305:26220/05:PU52070!RIV06-GA0-26220___
http://linked.open.../vavai/riv/strany	325-330
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA102/03/0560), Z(MSM0021630513)
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2006
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	532555
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/05:PU52070
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Image Processing, Genetic Algorithm, Back-Propagation Algorithm (en)
http://linked.open.../riv/klicoveSlovo	Genetic Algorithm Image Processing Back-Propagation Algorithm
http://linked.open...odStatuVydavatele	GR - Řecká republika
http://linked.open...ontrolniKodProRIV	[D60C740E37A7]
http://linked.open...i/riv/nazevZdroje	WSEAS Transactions on Circuits
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	New methods of providing and monitoring auality of services in next generation networks
http://linked.open...UplatneniVysledku	2005
http://linked.open...v/svazekPeriodika	4
http://linked.open...iv/tvurceVysledku	Škorpil, Vladislav Šťastný, Jiří
http://linked.open...n/vavai/riv/zamer	Advanced Electronic Communication Systems and Technologies (ELCOM)
issn	1109-2734
number of pages	6 (xsd:int)
http://localhost/t...ganizacniJednotka	26220

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