Loading condition monitoring on trusses applying a machine learning approach with training data of a finite element model: A study case

dc.contributor.author	Tinoco, H.A.
dc.contributor.author	Cardona, C.I.
dc.contributor.editor	Adámek, Vítězslav
dc.contributor.editor	Jonášová, Alena
dc.contributor.editor	Plánička, Stanislav
dc.contributor.editor	Zajíček, Martin
dc.date.accessioned	2020-01-21T08:34:43Z
dc.date.available	2020-01-21T08:34:43Z
dc.date.issued	2019
dc.format	2 s.	cs
dc.format.mimetype	application/pdf
dc.identifier.citation	Computational mechanics 2019: Proceedings of computational Mechanics 2019: 35th conference with international participation, p. 205-206.	en
dc.identifier.isbn	978-80-261-0889-4
dc.identifier.uri	http://hdl.handle.net/11025/36357
dc.language.iso	en	en
dc.publisher	Západočeská univerzita v Plzni	cs
dc.rights	© 2019 University of West Bohemia	en
dc.rights.access	openAccess	en
dc.subject	strukturální sledování zdraví	cs
dc.subject	analýza konečných prvků	cs
dc.subject	případová studie	cs
dc.subject	simulace	cs
dc.subject	training data	cs
dc.subject.translated	structural health monitoring	en
dc.subject.translated	finite element analyses	en
dc.subject.translated	study case	en
dc.subject.translated	simulation	en
dc.subject.translated	training data	en
dc.title	Loading condition monitoring on trusses applying a machine learning approach with training data of a finite element model: A study case	en
dc.type	konferenční příspěvek	cs
dc.type	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en

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