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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F06%3A03121571%21RIV07-MSM-21230___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
In this paper we introduce a self-organizing neural network that is capable of recognition of temporal signals. Conventional self-organizing neural networks like recurrent variant of Self-Organizing Map provide clustering of input sequences in space and time but the identification of the sequence itself requires supervised recognition process, when such network is used. In our network called TICALM the recognition is expressed by speed of convergence of the network while processing either learned or an unknown signal. TICALM network capabilities are shown on an experiment with handwriting recognition. Není k dispozici In this paper we introduce a self-organizing neural network that is capable of recognition of temporal signals. Conventional self-organizing neural networks like recurrent variant of Self-Organizing Map provide clustering of input sequences in space and time but the identification of the sequence itself requires supervised recognition process, when such network is used. In our network called TICALM the recognition is expressed by speed of convergence of the network while processing either learned or an unknown signal. TICALM network capabilities are shown on an experiment with handwriting recognition.
dcterms:title
Self-Organizing Neural Networks for Signal Recognition Self-Organizing Neural Networks for Signal Recognition Není k dispozici
skos:prefLabel
Self-Organizing Neural Networks for Signal Recognition Není k dispozici Self-Organizing Neural Networks for Signal Recognition
skos:notation
RIV/68407700:21230/06:03121571!RIV07-MSM-21230___
n3:strany
406 ; 414
n3:aktivita
n18:Z
n3:aktivity
Z(MSM6840770012)
n3:dodaniDat
n19:2007
n3:domaciTvurceVysledku
n4:7438907 n4:7035586
n3:druhVysledku
n12:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
498826
n3:idVysledku
RIV/68407700:21230/06:03121571
n3:jazykVysledku
n11:eng
n3:klicovaSlova
neural networks; signal recognition
n3:klicoveSlovo
n13:neural%20networks n13:signal%20recognition
n3:kontrolniKodProRIV
[C641AC6A6936]
n3:mistoKonaniAkce
Athens
n3:mistoVydani
Heidelberg
n3:nazevZdroje
16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I
n3:obor
n6:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n19:2006
n3:tvurceVysledku
Koutník, Jan Šnorek, Miroslav
n3:typAkce
n21:WRD
n3:zahajeniAkce
2006-09-10+02:00
n3:zamer
n14:MSM6840770012
s:numberOfPages
9
n15:hasPublisher
Springer-Verlag
n16:isbn
3-540-38625-4
n8:organizacniJednotka
21230