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Application of artificial neural networks in chosen glass laminates properties prediction
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| Title: | Application of artificial neural networks in chosen glass laminates properties prediction | ||||||||||
| Author: | Rusnáková, Soňa; Jančíková, Zora; Koštial, Pavol; Seidl, David; Ružiak, Ivan; Puchký, Richard | ||||||||||
| Document type: | Conference paper (English) | ||||||||||
| Source document: | Lecture Notes in Electrical Engineering. 2013, vol. 151 LNEE, p. 1113-1120 | ||||||||||
| ISSN: | 1876-1100 (Sherpa/RoMEO, JCR) | ||||||||||
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| DOI: | https://doi.org/10.1007/978-1-4614-3558-7_95 | ||||||||||
| 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. | ||||||||||
| Full text: | https://link.springer.com/chapter/10.1007/978-1-4614-3558-7_95 | ||||||||||
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ČSN ISO 690:2011 citation
Citace článku v konferenčním sborníku:
RUSNÁKOVÁ, Soňa, Zora JANČÍKOVÁ, Pavol KOŠTIAL, David SEIDL, Ivan RUŽIAK a Richard PUCHKÝ. Application of artificial neural networks in chosen glass laminates properties prediction. In: Lecture Notes in Electrical Engineering [online]. Bridgeport: Springer Netherlands, 2013, s. 1113-1120. [cit. 2024-11-22]. ISSN 1876-1100. Dostupné z: https://link.springer.com/chapter/10.1007/978-1-4614-3558-7_95.
These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.
RUSNÁKOVÁ, Soňa, Zora JANČÍKOVÁ, Pavol KOŠTIAL, David SEIDL, Ivan RUŽIAK a Richard PUCHKÝ. Application of artificial neural networks in chosen glass laminates properties prediction. In: Lecture Notes in Electrical Engineering [online]. Bridgeport: Springer Netherlands, 2013, s. 1113-1120. [cit. 2024-11-22]. ISSN 1876-1100. Dostupné z: https://link.springer.com/chapter/10.1007/978-1-4614-3558-7_95.
These citations are software generated and may contain errors. To verify accuracy, check the appropriate style guide.
