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Application of artificial neural networks in chosen glass laminates properties prediction

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dc.title Application of artificial neural networks in chosen glass laminates properties prediction en
dc.contributor.author Rusnáková, Soňa
dc.contributor.author Jančíková, Zora
dc.contributor.author Koštial, Pavol
dc.contributor.author Seidl, David
dc.contributor.author Ružiak, Ivan
dc.contributor.author Puchký, Richard
dc.relation.ispartof Lecture Notes in Electrical Engineering
dc.identifier.issn 1876-1100 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-1-4614-3557-0
dc.date.issued 2013
utb.relation.volume 151 LNEE
dc.citation.spage 1113
dc.citation.epage 1120
dc.event.title 2010 6th International Joint Conference on Computer, Information, and Systems Sciences, and Engineering, CISSE 2010
dc.event.location Bridgeport
utb.event.state-en United States
utb.event.state-cs Spojené státy americké
dc.event.sdate 2010-12-03
dc.event.edate 2010-12-12
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Netherlands en
dc.identifier.doi 10.1007/978-1-4614-3558-7_95
dc.relation.uri https://link.springer.com/chapter/10.1007/978-1-4614-3558-7_95
dc.description.abstract The article deals with applications of the artificial neural networks at the evaluation of chosen material's properties (sample thickness, sample shape) measured by electronic speckle pattern interferometry. We have investigated the dependence of the generated mode frequency as a function of sample thickness as well as the sample shape of glass laminate samples. Obtained experimental results for differently shaped glass laminate samples are compared with those of artificial neural networks and finite element method simulation. The coincidence of both experimental and simulated results is very good. © 2013 Springer Science+Business Media. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1003607
utb.identifier.obdid 43870495
utb.identifier.scopus 2-s2.0-84866002520
utb.source d-scopus
dc.date.accessioned 2014-01-06T08:26:10Z
dc.date.available 2014-01-06T08:26:10Z
utb.contributor.internalauthor Rusnáková, Soňa
utb.fulltext.affiliation Soňa Rusnáková, Zora Jančíková, Pavol Koštial, David Seidl, Ivan Ružiak and Richard Puchky S. Rusnáková (&) Faculty of Technology, Tomas Bata University, T. G. Masaryka 275, 76272 Zlín, Czech Republic e-mail: rusnakoav@ft.utb.cz S. Rusnáková Z. Jančíková P. Koštial D. Seidl I. Ružiak R. Puchký Faculty of Metallurgy and Materials Engineering, VŠB—Technical University of Ostrava, 17. listopadu 15/2172, 70833, Ostrava-Poruba, Czech Republic
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