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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F10%3A00503729%21RIV11-GA0-23520___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
Design of an optimal input signal in system identification using multi-layer perceptron network is treated. It is shown that utilizing the conditional probability density function of parameters for design of the input signal provides better results than currently used procedures based on prameter point estimates only. The conditional probability density function of parameters is approximated by a sum of normal distributions. Design of an optimal input signal in system identification using multi-layer perceptron network is treated. It is shown that utilizing the conditional probability density function of parameters for design of the input signal provides better results than currently used procedures based on prameter point estimates only. The conditional probability density function of parameters is approximated by a sum of normal distributions.
dcterms:title
Sequential optimal experiment design for neural networks using multiple linearization Sequential optimal experiment design for neural networks using multiple linearization
skos:prefLabel
Sequential optimal experiment design for neural networks using multiple linearization Sequential optimal experiment design for neural networks using multiple linearization
skos:notation
RIV/49777513:23520/10:00503729!RIV11-GA0-23520___
n4:aktivita
n14:S n14:P
n4:aktivity
P(GA102/08/0442), P(GP102/06/P202), S
n4:cisloPeriodika
16-18
n4:dodaniDat
n8:2011
n4:domaciTvurceVysledku
n17:3724107 n17:5446937
n4:druhVysledku
n10:J
n4:duvernostUdaju
n7:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
287006
n4:idVysledku
RIV/49777513:23520/10:00503729
n4:jazykVysledku
n15:eng
n4:klicovaSlova
System identification; optimal experiment design; nonlinear parameter estimation; multi-layer perceptron network
n4:klicoveSlovo
n11:optimal%20experiment%20design n11:nonlinear%20parameter%20estimation n11:multi-layer%20perceptron%20network n11:System%20identification
n4:kodStatuVydavatele
NL - Nizozemsko
n4:kontrolniKodProRIV
[D4EB8AB98852]
n4:nazevZdroje
Neurocomputing
n4:obor
n12:BC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n5:GA102%2F08%2F0442 n5:GP102%2F06%2FP202
n4:rokUplatneniVysledku
n8:2010
n4:svazekPeriodika
73
n4:tvurceVysledku
Hering, Pavel Šimandl, Miroslav
s:issn
0925-2312
s:numberOfPages
7
n18:organizacniJednotka
23520