About: Artificial neural networks in calibration of nonlinear models

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Last decades witness rapid development in numerical modelling of structures as well as materials and the complexity of models increases quickly together with their computational demands. Despite the growing performance of modern computers and clusters, a suitable approximation of an exhaustive simulation has still many applications in engineering problems. For example, the field of parameters identification may represent a large domain for very efficient applications. The layered neural networks are still considered as very general tools for approximation and they became popular especially for their simple implementation. This contribution presents different strategies for application of neural networks in calibration of nonlinear models and discusses their possible advantages and drawbacks. Last decades witness rapid development in numerical modelling of structures as well as materials and the complexity of models increases quickly together with their computational demands. Despite the growing performance of modern computers and clusters, a suitable approximation of an exhaustive simulation has still many applications in engineering problems. For example, the field of parameters identification may represent a large domain for very efficient applications. The layered neural networks are still considered as very general tools for approximation and they became popular especially for their simple implementation. This contribution presents different strategies for application of neural networks in calibration of nonlinear models and discusses their possible advantages and drawbacks. (en)
Title	Artificial neural networks in calibration of nonlinear models Artificial neural networks in calibration of nonlinear models (en)
skos:prefLabel	Artificial neural networks in calibration of nonlinear models Artificial neural networks in calibration of nonlinear models (en)
skos:notation	RIV/68407700:21110/12:00199124!RIV13-GA0-21110___
http://linked.open...avai/predkladatel	Fakulta stavební
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(FR-TI1/612), P(GAP105/12/1146), 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	123717
http://linked.open...ai/riv/idVysledku	RIV/68407700:21110/12:00199124
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	parameter identification; artificial neural networks; afinity hydration model; cement paste (en)
http://linked.open.../riv/klicoveSlovo	parameter identification artificial neural networks cement paste afinity hydration model
http://linked.open...ontrolniKodProRIV	[321B0C8C7C66]
http://linked.open...v/mistoKonaniAkce	Wien
http://linked.open...i/riv/mistoVydani	Leiden
http://linked.open...i/riv/nazevZdroje	Life-Cycle and Sustainability of Civil Infrastructure Systems
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	Methods for paralelization of engineering problems using low-cost technologies Artificial neural networks in multi-scale modelling of transport processes in heterogeneous materials *Computer software for the simulation of concrete hardening using the microscale models for hydration
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Janouchová, Eliška Kučerová, Anna Mareš, Tomáš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-10-03 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	CRC Press/Balkema
https://schema.org/isbn	978-0-415-62126-7
http://localhost/t...ganizacniJednotka	21110
is http://linked.open...avai/riv/vysledek of	Artificial neural networks in calibration of nonlinear models

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