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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F04%3A03099378%21RIV%2F2005%2FMSM%2F212305%2FN
rdf:type
n14:Vysledek skos:Concept
dcterms:description
Modifications of an existing neural network called Categorizing and Learning Module (CALM) that allow learning of temporal sequences are introduced in this paper. We embedded an associative learning mechanism which allows to look into the past when classifying present stimuli. We have built in the Euclidean metrics instead of the weighted sum found in the original learning rule. This improvement allows better discrimination in case of learning low dimensional patterns in the temporal sequences. Results were obtained from testing the enhanced module on simple artificial data. These experiments promise applicability of the enhanced module in a real problem domain. Modifications of an existing neural network called Categorizing and Learning Module (CALM) that allow learning of temporal sequences are introduced in this paper. We embedded an associative learning mechanism which allows to look into the past when classifying present stimuli. We have built in the Euclidean metrics instead of the weighted sum found in the original learning rule. This improvement allows better discrimination in case of learning low dimensional patterns in the temporal sequences. Results were obtained from testing the enhanced module on simple artificial data. These experiments promise applicability of the enhanced module in a real problem domain. Není k dispozici
dcterms:title
Není k dispozici Single Categorizing and Learning Module for Temporal Sequences Single Categorizing and Learning Module for Temporal Sequences
skos:prefLabel
Single Categorizing and Learning Module for Temporal Sequences Není k dispozici Single Categorizing and Learning Module for Temporal Sequences
skos:notation
RIV/68407700:21230/04:03099378!RIV/2005/MSM/212305/N
n3:aktivita
n19:Z
n3:aktivity
Z(MSM 212300014)
n3:dodaniDat
n5:2005
n3:domaciTvurceVysledku
n4:7035586 n4:7438907
n3:druhVysledku
n16:A
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
586362
n3:idVysledku
RIV/68407700:21230/04:03099378
n3:jazykVysledku
n13:eng
n3:klicovaSlova
Categorizing and Learning Module; modular neural networks; sequence processing
n3:klicoveSlovo
n11:Categorizing%20and%20Learning%20Module n11:sequence%20processing n11:modular%20neural%20networks
n3:kodPristupu
n18:L
n3:kontrolniKodProRIV
[C379FCC7A822]
n3:mistoVydani
Piscataway
n3:nosic
neuvedeno
n3:obor
n8:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n5:2004
n3:tvurceVysledku
Šnorek, Miroslav Koutník, Jan
n3:zamer
n12:MSM%20212300014
n15:isbn
0-7803-8360-5
n17:organizacniJednotka
21230