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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F11%3APU94066%21RIV12-MSM-26220___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
The paper presents usage of the general regression neural network for the system identification and modeling issue. Because of the probabilistic behavior of the network, the results significantly differ from the ones achieved using the multilayer neural network, while using the same training data. The paper presents usage of the general regression neural network for the system identification and modeling issue. Because of the probabilistic behavior of the network, the results significantly differ from the ones achieved using the multilayer neural network, while using the same training data.
dcterms:title
General Regression Neutral Network for Behavioral Modeling General Regression Neutral Network for Behavioral Modeling
skos:prefLabel
General Regression Neutral Network for Behavioral Modeling General Regression Neutral Network for Behavioral Modeling
skos:notation
RIV/00216305:26220/11:PU94066!RIV12-MSM-26220___
n17:predkladatel
n18:orjk%3A26220
n3:aktivita
n12:S n12:P n12:Z
n3:aktivity
P(GD102/08/H027), S, Z(MSM0021630513)
n3:dodaniDat
n11:2012
n3:domaciTvurceVysledku
n20:7865244
n3:druhVysledku
n10:D
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
200902
n3:idVysledku
RIV/00216305:26220/11:PU94066
n3:jazykVysledku
n6:eng
n3:klicovaSlova
general regression neural networks, input/output modeling
n3:klicoveSlovo
n5:input%2Foutput%20modeling n5:general%20regression%20neural%20networks
n3:kontrolniKodProRIV
[4DCD34D107F8]
n3:mistoKonaniAkce
Vsetín
n3:mistoVydani
Neuveden
n3:nazevZdroje
Proceedings of 9th international conference Vsacký Cáb 2011
n3:obor
n13:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n23:GD102%2F08%2FH027
n3:rokUplatneniVysledku
n11:2011
n3:tvurceVysledku
Lukeš, Zbyněk Svobodová, Jitka
n3:typAkce
n21:WRD
n3:zahajeniAkce
2011-08-29+02:00
n3:zamer
n14:MSM0021630513
s:numberOfPages
3
n9:hasPublisher
Vysoké učení technické v Brně
n8:isbn
978-80-214-4319-8
n22:organizacniJednotka
26220