Kontaktujte nás | Jazyk: čeština English
Název: | Application of artificial neural networks in chosen glass laminates properties prediction | ||||||||||
Autor: | Rusnáková, Soňa; Jančíková, Zora; Koštial, Pavol; Seidl, David; Ružiak, Ivan; Puchký, Richard | ||||||||||
Typ dokumentu: | Článek ve sborníku (English) | ||||||||||
Zdrojový dok.: | Lecture Notes in Electrical Engineering. 2013, vol. 151 LNEE, p. 1113-1120 | ||||||||||
ISSN: | 1876-1100 (Sherpa/RoMEO, JCR) | ||||||||||
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ISBN: | 978-1-4614-3557-0 | ||||||||||
DOI: | https://doi.org/10.1007/978-1-4614-3558-7_95 | ||||||||||
Abstrakt: | 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. | ||||||||||
Plný text: | https://link.springer.com/chapter/10.1007/978-1-4614-3558-7_95 | ||||||||||
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