About: Pattern Storage in a Sparsely Coded Neural Network with Cyclic Activation

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Práce studuje originální design neuronové sítě. Ta je inspirovaná Hopfieldovou a Willshawovou sítí s použitím Hebbova pravidla modifikovaného tak, aby cyklicky aktivovalo skupiny neuronů. Práce prezentuje implementaci a odhady kapacity této sítě. (cs) We investigate an artificial neural network model with a modified Hebb rule. It is an auto-associative neural network similar to the Hopfield model and to the Willshaw model. It has properties of both of these models. Another property is that the patterns are sparsely coded and are stored in cycles of synchronous neural activities. The cycles of activity for some ranges of parameter increase the capacity of the model. We discuss basic properties of the model and some of the implementation issues, namely optimizing of the algorithms. We describe the modification of the Hebb learning rule, the learning algorithm, the generation of patterns, decomposition of patterns into cycles and pattern recall. We investigate an artificial neural network model with a modified Hebb rule. It is an auto-associative neural network similar to the Hopfield model and to the Willshaw model. It has properties of both of these models. Another property is that the patterns are sparsely coded and are stored in cycles of synchronous neural activities. The cycles of activity for some ranges of parameter increase the capacity of the model. We discuss basic properties of the model and some of the implementation issues, namely optimizing of the algorithms. We describe the modification of the Hebb learning rule, the learning algorithm, the generation of patterns, decomposition of patterns into cycles and pattern recall. (en)
Title	Pattern Storage in a Sparsely Coded Neural Network with Cyclic Activation Záznam paměťových stop v neuronové síti pomocí řídkého kódování a cyklické aktivace (cs) Pattern Storage in a Sparsely Coded Neural Network with Cyclic Activation (en)
skos:prefLabel	Pattern Storage in a Sparsely Coded Neural Network with Cyclic Activation Záznam paměťových stop v neuronové síti pomocí řídkého kódování a cyklické aktivace (cs) Pattern Storage in a Sparsely Coded Neural Network with Cyclic Activation (en)
skos:notation	RIV/68407700:21460/07:12132181!RIV08-MSM-21460___
http://linked.open.../vavai/riv/strany	257;263
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6840770012)
http://linked.open...iv/cisloPeriodika	1-3
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Maršálek, Petr
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	České vysoké učení technické v Praze / Fakulta biomedicínského inženýrství
http://linked.open...dnocenehoVysledku	440829
http://linked.open...ai/riv/idVysledku	RIV/68407700:21460/07:12132181
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Hebb rule; Hopfield network; auto-associative neural network (en)
http://linked.open.../riv/klicoveSlovo	Hopfield network Hebb rule auto-associative neural network
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[7034E28171C9]
http://linked.open...i/riv/nazevZdroje	Biosystems
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2007
http://linked.open...v/svazekPeriodika	89
http://linked.open...iv/tvurceVysledku	Maršálek, Petr Stroffek, J. Kuriscak, E.
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
issn	0303-2647
number of pages	7 (xsd:int)
http://localhost/t...ganizacniJednotka	21460

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