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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F99%3A00000034%21RIV%2F2000%2FMSM%2F262100
rdf:type
skos:Concept n18:Vysledek
dcterms:description
The contribution shows Elman neural network used for non-linear system identification. A simple example of non-linear dynamic system is used to test the performance of networks with different number of hidden units. Results shows that higher number of hidden neurons surprisingly degrades the performance of the network both in training and generalisation abilities. The contribution shows Elman neural network used for non-linear system identification. A simple example of non-linear dynamic system is used to test the performance of networks with different number of hidden units. Results shows that higher number of hidden neurons surprisingly degrades the performance of the network both in training and generalisation abilities.
dcterms:title
Recurrent Neural Networks for Non-linear System Identification Recurrent Neural Networks for Non-linear System Identification
skos:prefLabel
Recurrent Neural Networks for Non-linear System Identification Recurrent Neural Networks for Non-linear System Identification
skos:notation
RIV/00216305:26210/99:00000034!RIV/2000/MSM/262100
n3:strany
37
n3:aktivita
n8:P
n3:aktivity
P(VS96122)
n3:cisloPeriodika
11
n3:dodaniDat
n15:2000
n3:domaciTvurceVysledku
Krejsa, Jiří Doležal, Rudolf
n3:druhVysledku
n17:J
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
752385
n3:idVysledku
RIV/00216305:26210/99:00000034
n3:jazykVysledku
n16:eng
n3:klicovaSlova
neural networks
n3:klicoveSlovo
n5:neural%20networks
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[141FFA8637CF]
n3:nazevZdroje
Zeszyty naukowe katedry mechaniki stosowanej
n3:obor
n7:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n9:VS96122
n3:rokUplatneniVysledku
n15:1999
n3:svazekPeriodika
1999
n3:tvurceVysledku
Doležal, Rudolf Krejsa, Jiří
s:numberOfPages
4
n11:isbn
83-911764-0-1
n6:organizacniJednotka
26210