About: XOR Artificial Neural Network

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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)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The basic element of data processing is a bipolar neuron with integer weights. This element of ANN enables to realize the exclusive or (XOR) function as a sub-network with one hidden layer. Then the heterogenous ANN is defined as an acyclic orientedgraphconsisting of two types of nodes: bipolar and XOR elements. The proverb %22Exceptions prove the rule%22 is not only a phrase but a model of hypothesis refinement. The XOR artificial neural network is defined in the paper and its complexity is studied. The s econd possibility is to use XOR elements for systematic preprocessing. Both XOR preprocessing network and XOR model of exceptions are tested on difficult task of prime number recognition. The complexities of resulting heterogenous networks are compared with the complexities of conjunctive and disjunctive normal forms. The basic element of data processing is a bipolar neuron with integer weights. This element of ANN enables to realize the exclusive or (XOR) function as a sub-network with one hidden layer. Then the heterogenous ANN is defined as an acyclic orientedgraphconsisting of two types of nodes: bipolar and XOR elements. The proverb %22Exceptions prove the rule%22 is not only a phrase but a model of hypothesis refinement. The XOR artificial neural network is defined in the paper and its complexity is studied. The s econd possibility is to use XOR elements for systematic preprocessing. Both XOR preprocessing network and XOR model of exceptions are tested on difficult task of prime number recognition. The complexities of resulting heterogenous networks are compared with the complexities of conjunctive and disjunctive normal forms. (en)
Title	XOR Artificial Neural Network XOR Artificial Neural Network (en)
skos:prefLabel	XOR Artificial Neural Network XOR Artificial Neural Network (en)
skos:notation	RIV/60461373:22340/02:00007037!RIV/2004/MSM/223404/N
http://linked.open.../vavai/riv/strany	221;226
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM 223400007)
http://linked.open...vai/riv/dodaniDat	2004
http://linked.open...aciTvurceVysledku	Kukal, Jaromír
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	Vysoká škola chemicko-technologická v Praze / Fakulta chemicko-inženýrská
http://linked.open...dnocenehoVysledku	670874
http://linked.open...ai/riv/idVysledku	RIV/60461373:22340/02:00007037
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	ANN; bipolar neuron; XOR neuron; exception; rule; XOR network; preprocessing; network complexity (en)
http://linked.open.../riv/klicoveSlovo	ANN preprocessing network complexity rule exception XOR network XOR neuron bipolar neuron
http://linked.open...ontrolniKodProRIV	[2677D336DE22]
http://linked.open...v/mistoKonaniAkce	Brno
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Proc. of 8th Int. Conference on Soft Computing MENDEL 2002
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...ocetUcastnikuAkce	0 (xsd:int)
http://linked.open...nichUcastnikuAkce	0 (xsd:int)
http://linked.open...UplatneniVysledku	2002
http://linked.open...iv/tvurceVysledku	Kukal, Jaromír Kukalová, Milena
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2002-06-05 (xsd:date)
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20223400007
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Vysoké učení technické v Brně
https://schema.org/isbn	80-214-2135-5
http://localhost/t...ganizacniJednotka	22340

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