Application of Artificial Neural Networks in Chosen Glass Laminates Properties Prediction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F10%3A86076160" target="_blank" >RIV/61989100:27360/10:86076160 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Application of Artificial Neural Networks in Chosen Glass Laminates Properties Prediction

Original language description

The article deals with applications of the artificial neural networks (ANN) at the evaluation of chosen material's properties (sample thickness, sample shape) measured by electronic speckle pattern interferometry (ESPI). 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 networksand finite element method (FEM) simulation. The coincidence of both experimental and simulated results is very good.

Czech name

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Czech description

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Type

A - Audiovisual production

CEP classification

JG - Metallurgy, metal materials

OECD FORD branch

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Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2010

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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