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Statements

Subject Item
n2:RIV%2F00216305%3A26110%2F14%3APU113025%21RIV15-MSM-26110___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
The paper presents two alternative approaches to solve inverse reliability task – to determine the design parameters to achieve desired target reliabilities. The first approach is based on utilization of artificial neural networks and small-sample simulation Latin hypercube sampling. The second approach considers inverse reliability task as reliability-based optimization task using double-loop method and also small-sample simulation. The paper presents two alternative approaches to solve inverse reliability task – to determine the design parameters to achieve desired target reliabilities. The first approach is based on utilization of artificial neural networks and small-sample simulation Latin hypercube sampling. The second approach considers inverse reliability task as reliability-based optimization task using double-loop method and also small-sample simulation.
dcterms:title
Inverse Reliability Task: Artificial Neural Networks and Reliability-Based Optimization Approaches. Inverse Reliability Task: Artificial Neural Networks and Reliability-Based Optimization Approaches.
skos:prefLabel
Inverse Reliability Task: Artificial Neural Networks and Reliability-Based Optimization Approaches. Inverse Reliability Task: Artificial Neural Networks and Reliability-Based Optimization Approaches.
skos:notation
RIV/00216305:26110/14:PU113025!RIV15-MSM-26110___
n3:aktivita
n21:S n21:P
n3:aktivity
P(ED2.1.00/03.0097), P(TA01011019), S
n3:dodaniDat
n8:2015
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n20:D
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
22689
n3:idVysledku
RIV/00216305:26110/14:PU113025
n3:jazykVysledku
n19:eng
n3:klicovaSlova
Inverse Reliability, artificial neural network, reliability-based optimization, double-loop optimization, uncertainties, Latin hypercube sampling
n3:klicoveSlovo
n7:Latin%20hypercube%20sampling n7:uncertainties n7:artificial%20neural%20network n7:double-loop%20optimization n7:reliability-based%20optimization n7:Inverse%20Reliability
n3:kontrolniKodProRIV
[329F4519506E]
n3:mistoKonaniAkce
Rhodos
n3:mistoVydani
Řecko
n3:nazevZdroje
Proceedings of the 10th IFIP WG 12.5 International Conference Artificial Intelligence Applications and Inovations (AIAI 2014)
n3:obor
n10:JM
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n15:TA01011019 n15:ED2.1.00%2F03.0097
n3:rokUplatneniVysledku
n8:2014
n3:tvurceVysledku
Lehký, David Slowik, Ondřej Novák, Drahomír
n3:typAkce
n18:WRD
n3:zahajeniAkce
2014-09-19+02:00
s:numberOfPages
10
n13:hasPublisher
Neuveden
n14:isbn
978-3-662-44653-9
n9:organizacniJednotka
26110