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Statements

Subject Item
n2:RIV%2F68407700%3A21260%2F12%3A00197059%21RIV13-MSM-21260___
rdf:type
skos:Concept n6:Vysledek
dcterms:description
This paper discusses features of multilayered evolutionary system suitable to identify various systems including their model by symbolic regression. Improved sensitivity allows modelling of difficult systems as deterministic chaos ones. This paper discusses features of multilayered evolutionary system suitable to identify various systems including their model by symbolic regression. Improved sensitivity allows modelling of difficult systems as deterministic chaos ones.
dcterms:title
Evolutionary System to Model Structure and Parameters Regression Evolutionary System to Model Structure and Parameters Regression
skos:prefLabel
Evolutionary System to Model Structure and Parameters Regression Evolutionary System to Model Structure and Parameters Regression
skos:notation
RIV/68407700:21260/12:00197059!RIV13-MSM-21260___
n6:predkladatel
n7:orjk%3A21260
n4:aktivita
n13:Z
n4:aktivity
Z(MSM6840770043)
n4:cisloPeriodika
2
n4:dodaniDat
n5:2013
n4:domaciTvurceVysledku
n12:4949935
n4:druhVysledku
n14:J
n4:duvernostUdaju
n8:S
n4:entitaPredkladatele
n18:predkladatel
n4:idSjednocenehoVysledku
135331
n4:idVysledku
RIV/68407700:21260/12:00197059
n4:jazykVysledku
n17:eng
n4:klicovaSlova
genetic algorithm; genetic programming algorithm; evolutionary strategy; symbolic regression; model development
n4:klicoveSlovo
n9:genetic%20programming%20algorithm n9:model%20development n9:symbolic%20regression n9:genetic%20algorithm n9:evolutionary%20strategy
n4:kodStatuVydavatele
CZ - Česká republika
n4:kontrolniKodProRIV
[0E7C9743926A]
n4:nazevZdroje
Neural Network World
n4:obor
n11:IN
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:rokUplatneniVysledku
n5:2012
n4:svazekPeriodika
2012
n4:tvurceVysledku
Brandejský, Tomáš
n4:wos
000305103600006
n4:zamer
n16:MSM6840770043
s:issn
1210-0552
s:numberOfPages
14
n19:organizacniJednotka
21260