This HTML5 document contains 44 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n10http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n19http://purl.org/net/nknouf/ns/bibtex#
n13http://localhost/temp/predkladatel/
n9http://linked.opendata.cz/resource/domain/vavai/projekt/
n4http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n14http://linked.opendata.cz/ontology/domain/vavai/
n20http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26210%2F09%3APU83715%21RIV10-GA0-26210___/
n15https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n11http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n21http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n18http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F09%3APU83715%21RIV10-GA0-26210___
rdf:type
n14:Vysledek skos:Concept
dcterms:description
This article describes neural networks used in the off-line diagnostics of high voltage generators. Such an artificial intelligence tool is used for the prediction of diagnostic quantity selected and used in the machines tested. The diagnostic quantities are obtained by non-destructive measurement during planned revisions and shutdowns in the machines monitored. This article describes neural networks used in the off-line diagnostics of high voltage generators. Such an artificial intelligence tool is used for the prediction of diagnostic quantity selected and used in the machines tested. The diagnostic quantities are obtained by non-destructive measurement during planned revisions and shutdowns in the machines monitored.
dcterms:title
Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines
skos:prefLabel
Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines Neural networks: Off-Line Diagnostic Tools of High-Voltage Electric Machines
skos:notation
RIV/00216305:26210/09:PU83715!RIV10-GA0-26210___
n3:aktivita
n12:P
n3:aktivity
P(FI-IM5/173), P(GA102/08/1118)
n3:dodaniDat
n18:2010
n3:domaciTvurceVysledku
n4:2341921 n4:5292328 n4:1198165
n3:druhVysledku
n5:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
329227
n3:idVysledku
RIV/00216305:26210/09:PU83715
n3:jazykVysledku
n21:eng
n3:klicovaSlova
neural network, artificial intelligence, diagnostics
n3:klicoveSlovo
n11:artificial%20intelligence n11:diagnostics n11:neural%20network
n3:kontrolniKodProRIV
[4ED3ECD510F9]
n3:mistoKonaniAkce
Luhačovice
n3:mistoVydani
Berlin
n3:nazevZdroje
Recent Advances in mechatronics 2008-2009
n3:obor
n17:JA
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n9:GA102%2F08%2F1118 n9:FI-IM5%2F173
n3:rokUplatneniVysledku
n18:2009
n3:tvurceVysledku
Pavlík, Josef Latina, Petr Hammer, Miloš
n3:typAkce
n10:EUR
n3:zahajeniAkce
2009-11-18+01:00
s:numberOfPages
5
n19:hasPublisher
Springer-Verlag. (Berlin; Heidelberg)
n15:isbn
978-3-642-05021-3
n13:organizacniJednotka
26210