About: Classification of Spatio-Temporal Data Using Complex-Valued Neural Networks

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper presents a new approach in spatio-temporal classification utilizing the fact, that spatio-temporal data can be easily transformed into polar form of complex numbers. The proposed classifier uses two-layer complex-valued neural network inspired by the RBF networks. Weights of the first layer determine spatio-temporal position of neurons and are trained using neural gas algorithm to appropriately cover the training data set. The second layer divides neurons from the first layer into different classes and is trained in single pass. The classification itself is based on accumulating distance error from neural network. Paper contains details on experimenting with proposed approach on artificial data of hand-written character recognition. This paper presents a new approach in spatio-temporal classification utilizing the fact, that spatio-temporal data can be easily transformed into polar form of complex numbers. The proposed classifier uses two-layer complex-valued neural network inspired by the RBF networks. Weights of the first layer determine spatio-temporal position of neurons and are trained using neural gas algorithm to appropriately cover the training data set. The second layer divides neurons from the first layer into different classes and is trained in single pass. The classification itself is based on accumulating distance error from neural network. Paper contains details on experimenting with proposed approach on artificial data of hand-written character recognition. (en)
Title	Classification of Spatio-Temporal Data Using Complex-Valued Neural Networks Classification of Spatio-Temporal Data Using Complex-Valued Neural Networks (en)
skos:prefLabel	Classification of Spatio-Temporal Data Using Complex-Valued Neural Networks Classification of Spatio-Temporal Data Using Complex-Valued Neural Networks (en)
skos:notation	RIV/68407700:21240/11:00184208!RIV12-MSM-21240___
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Zahradník, Jakub Skrbek, Miroslav
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	České vysoké učení technické v Praze / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	190534
http://linked.open...ai/riv/idVysledku	RIV/68407700:21240/11:00184208
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	complex-valued; neural network; classification; spatio-temporal; RBF; neural gas (en)
http://linked.open.../riv/klicoveSlovo	RBF classification complex-valued neural gas neural network spatio-temporal
http://linked.open...ontrolniKodProRIV	[52F217EB9A52]
http://linked.open...v/mistoKonaniAkce	Lednice
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Proceeding of the 7th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Skrbek, Miroslav Zahradník, Jakub
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2011-10-14 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Vysoké učení technické v Brně
https://schema.org/isbn	978-80-214-4305-1
http://localhost/t...ganizacniJednotka	21240

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