About: Comparison of Optimal Designs of Experiments in Application to Sensitivity and Inverse Analysis

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Nowadays the numerical models of structures and materials are more precise, but still time-consuming. Despite the growth of a computational effort, the exploration of model behaviour requires some basic tools. One of them is the sensitivity analysis investigating the sensitivity of the model to its inputs. Another tool often used in inverse analysis is meta-modelling replacing an exhaustive simulation by an approximation. Strategies to assess the sensitivity and/or build an approximation are usually based on a finite set of simulations for a given sets of input parameters, i.e. the design of experiments. This paper reviews criteria defining optimal designs of experiments and compares their quality in sampling-based sensitivity analysis and in neural network training process. Nowadays the numerical models of structures and materials are more precise, but still time-consuming. Despite the growth of a computational effort, the exploration of model behaviour requires some basic tools. One of them is the sensitivity analysis investigating the sensitivity of the model to its inputs. Another tool often used in inverse analysis is meta-modelling replacing an exhaustive simulation by an approximation. Strategies to assess the sensitivity and/or build an approximation are usually based on a finite set of simulations for a given sets of input parameters, i.e. the design of experiments. This paper reviews criteria defining optimal designs of experiments and compares their quality in sampling-based sensitivity analysis and in neural network training process. (en)
Title	Comparison of Optimal Designs of Experiments in Application to Sensitivity and Inverse Analysis Comparison of Optimal Designs of Experiments in Application to Sensitivity and Inverse Analysis (en)
skos:prefLabel	Comparison of Optimal Designs of Experiments in Application to Sensitivity and Inverse Analysis Comparison of Optimal Designs of Experiments in Application to Sensitivity and Inverse Analysis (en)
skos:notation	RIV/68407700:21110/12:00198943!RIV13-GA0-21110___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GPP105/11/P370)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Mareš, Tomáš Kučerová, Anna Janouchová, Eliška
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta stavební
http://linked.open...dnocenehoVysledku	127991
http://linked.open...ai/riv/idVysledku	RIV/68407700:21110/12:00198943
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	design of experiments; optimality criterion; Latin Hypercube Sampling; sampling-based sensitivity analysis; artificial neural network (en)
http://linked.open.../riv/klicoveSlovo	Latin Hypercube Sampling artificial neural network design of experiments sampling-based sensitivity analysis optimality criterion
http://linked.open...ontrolniKodProRIV	[06A42380DC3F]
http://linked.open...v/mistoKonaniAkce	Prague
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	Proceedings of the 3rd Conference Nano and Macro Mechanics NMM 2012
http://linked.open...in/vavai/riv/obor	JM
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Artificial neural networks in multi-scale modelling of transport processes in heterogeneous materials
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Janouchová, Eliška Kučerová, Anna Mareš, Tomáš
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2012-09-20 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	České vysoké učení technické v Praze. Fakulta stavební
https://schema.org/isbn	978-80-01-05097-2
http://localhost/t...ganizacniJednotka	21110

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