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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F04%3A03099379%21RIV%2F2005%2FMSM%2F212305%2FN
rdf:type
n7:Vysledek skos:Concept
dcterms:description
Our research draws on experience with Group Method of Data Handling (GMDH) introduced by Ivachknenko in 1966. We have modified Multilayered Iterative Algorithm (MIA) that is commonly used to generate inductive models of real-world systems. In our algorithm heterogeneous units are used instead of units with given polynomial transfer function and therefore Hybrid Inductive Models (HIMs) are generated. This paper shows how to improve the efficiency of search for optimal HIMs. This is attained by employing Deterministic Crowding (DC) method proposed by Mahfoud in 1995. As a by-product of using DC method, we can estimate the importance of input variables for modeled output (sensitivity analysis). Není k dispozici Our research draws on experience with Group Method of Data Handling (GMDH) introduced by Ivachknenko in 1966. We have modified Multilayered Iterative Algorithm (MIA) that is commonly used to generate inductive models of real-world systems. In our algorithm heterogeneous units are used instead of units with given polynomial transfer function and therefore Hybrid Inductive Models (HIMs) are generated. This paper shows how to improve the efficiency of search for optimal HIMs. This is attained by employing Deterministic Crowding (DC) method proposed by Mahfoud in 1995. As a by-product of using DC method, we can estimate the importance of input variables for modeled output (sensitivity analysis).
dcterms:title
Hybrid Inductive Models: Deterministic Crowding Employed Hybrid Inductive Models: Deterministic Crowding Employed Není k dispozici
skos:prefLabel
Není k dispozici Hybrid Inductive Models: Deterministic Crowding Employed Hybrid Inductive Models: Deterministic Crowding Employed
skos:notation
RIV/68407700:21230/04:03099379!RIV/2005/MSM/212305/N
n3:aktivita
n11:Z
n3:aktivity
Z(MSM 212300014)
n3:dodaniDat
n16:2005
n3:domaciTvurceVysledku
n8:1266500 n8:7035586 n8:9809856
n3:druhVysledku
n4:A
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
566894
n3:idVysledku
RIV/68407700:21230/04:03099379
n3:jazykVysledku
n18:eng
n3:klicovaSlova
GMDH; deterministic crowding; inductive modelling
n3:klicoveSlovo
n17:inductive%20modelling n17:deterministic%20crowding n17:GMDH
n3:kodPristupu
n19:L
n3:kontrolniKodProRIV
[7E386CAE3376]
n3:mistoVydani
Piscataway
n3:nosic
neuvedeno
n3:obor
n15:JC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n16:2004
n3:tvurceVysledku
Kordík, Pavel Šnorek, Miroslav Genyk-Berezovskyj, Marko
n3:zamer
n10:MSM%20212300014
n9:isbn
0-7803-8360-5
n12:organizacniJednotka
21230