This HTML5 document contains 45 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
n14http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n17http://purl.org/net/nknouf/ns/bibtex#
n19http://linked.opendata.cz/resource/domain/vavai/projekt/
n5http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n4http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F61388998%3A_____%2F00%3A51000284%21RIV%2F2003%2FAV0%2FA51003%2FN/
n10http://linked.opendata.cz/ontology/domain/vavai/
n20https://schema.org/
n15http://linked.opendata.cz/resource/domain/vavai/zamer/
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#
n7http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n21http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n13http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n16http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F61388998%3A_____%2F00%3A51000284%21RIV%2F2003%2FAV0%2FA51003%2FN
rdf:type
skos:Concept n10:Vysledek
dcterms:description
The paper compares feed forward and recurrent neural networks used for identification of nonlinear system The paper compares feed forward and recurrent neural networks used for identification of nonlinear system
dcterms:title
Recurrent versus Feed-forward Neural Network used for Identification of Non-linear systems. Recurrent versus Feed-forward Neural Network used for Identification of Non-linear systems.
skos:prefLabel
Recurrent versus Feed-forward Neural Network used for Identification of Non-linear systems. Recurrent versus Feed-forward Neural Network used for Identification of Non-linear systems.
skos:notation
RIV/61388998:_____/00:51000284!RIV/2003/AV0/A51003/N
n3:strany
109;112
n3:aktivita
n6:P n6:Z
n3:aktivity
P(VS96122), Z(AV0Z2076919)
n3:dodaniDat
n16:2003
n3:domaciTvurceVysledku
n5:1655868 n5:2423782 n5:8902984
n3:druhVysledku
n11:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
724791
n3:idVysledku
RIV/61388998:_____/00:51000284
n3:jazykVysledku
n13:eng
n3:klicovaSlova
N/A
n3:klicoveSlovo
n7:N%2FA
n3:kontrolniKodProRIV
[EEEAB764606C]
n3:mistoKonaniAkce
Warszaw [PL]
n3:mistoVydani
Varšava
n3:nazevZdroje
Mechatronics 2000.
n3:obor
n9:BO
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:pocetUcastnikuAkce
0
n3:pocetZahranicnichUcastnikuAkce
0
n3:projekt
n19:VS96122
n3:rokUplatneniVysledku
n16:2000
n3:tvurceVysledku
Doležal, Rudolf Krejsa, Jiří Březina, Tomáš
n3:typAkce
n14:WRD
n3:zahajeniAkce
2000-09-21+02:00
n3:zamer
n15:AV0Z2076919
s:numberOfPages
5
n17:hasPublisher
XX
n20:isbn
83-914366-0-8