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
n8http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n13http://purl.org/net/nknouf/ns/bibtex#
n15http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n12http://linked.opendata.cz/resource/domain/vavai/projekt/
n20http://linked.opendata.cz/ontology/domain/vavai/
n5http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F67985807%3A_____%2F01%3A06010102%21RIV%2F2003%2FAV0%2FA06003%2FN/
n21http://linked.opendata.cz/resource/domain/vavai/zamer/
n17https://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#
n6http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n14http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n4http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F67985807%3A_____%2F01%3A06010102%21RIV%2F2003%2FAV0%2FA06003%2FN
rdf:type
skos:Concept n20:Vysledek
dcterms:description
Complexity of neural networks measured by the number of hidden units is studied in terms of rates of approximation. Limitations of improvements of upper bounds of the order of O(n exp(-1/2)) on such rates are investigated for perceptron networks with some periodic and some sigmoidal activation functions. Complexity of neural networks measured by the number of hidden units is studied in terms of rates of approximation. Limitations of improvements of upper bounds of the order of O(n exp(-1/2)) on such rates are investigated for perceptron networks with some periodic and some sigmoidal activation functions.
dcterms:title
Tight Bounds on Rates of Neural-Network Approximation. Tight Bounds on Rates of Neural-Network Approximation.
skos:prefLabel
Tight Bounds on Rates of Neural-Network Approximation. Tight Bounds on Rates of Neural-Network Approximation.
skos:notation
RIV/67985807:_____/01:06010102!RIV/2003/AV0/A06003/N
n3:strany
277;288
n3:aktivita
n14:P n14:Z
n3:aktivity
P(GA201/00/1489), Z(AV0Z1030915)
n3:dodaniDat
n4:2003
n3:domaciTvurceVysledku
n15:9769439
n3:druhVysledku
n7:D
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
698815
n3:idVysledku
RIV/67985807:_____/01:06010102
n3:jazykVysledku
n9:eng
n3:klicovaSlova
complexity of neural networks; - rates of approximation; - perceptron networks
n3:klicoveSlovo
n6:-%20rates%20of%20approximation n6:-%20perceptron%20networks n6:complexity%20of%20neural%20networks
n3:kontrolniKodProRIV
[C4077536ACB3]
n3:mistoKonaniAkce
Vienna [AT]
n3:mistoVydani
Berlin
n3:nazevZdroje
Artificial Neural Networks - ICANN'2001.
n3:obor
n19:BA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:pocetUcastnikuAkce
0
n3:pocetZahranicnichUcastnikuAkce
0
n3:projekt
n12:GA201%2F00%2F1489
n3:rokUplatneniVysledku
n4:2001
n3:tvurceVysledku
Kůrková, Věra Sanguineti, M.
n3:typAkce
n8:WRD
n3:zahajeniAkce
2001-08-21+02:00
n3:zamer
n21:AV0Z1030915
s:numberOfPages
12
n13:hasPublisher
Springer-Verlag
n17:isbn
3-540-42486-5