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Impact of the Input Dataset Size on Accuracy of Reduced Order Models of Rubber-Metal Elements for Static Characteristics Cover

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Impact of the Input Dataset Size on Accuracy of Reduced Order Models of Rubber-Metal Elements for Static Characteristics

Strojnícky časopis - Journal of Mechanical Engineering

Volume 76 (2026): Issue 2 (November 2026)

By: Juraj Dobrovolný, Ján Danko, Martin Bernáth, Tomáš Milesich, Igor Kevický and Ľuboš Magdolen

Open Access

|Nov 2026

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DOI: https://doi.org/10.2478/scjme-2026-0020 | Journal eISSN: 2450-5471 | Journal ISSN: 0039-2472

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Language: English

Page range: 46 - 53

Published online: Nov 12, 2026

Published in print: Nov 1, 2026

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Keywords:

Neural network,

Reduced order model,

Rubber-metal element

Related subjects:

Mechanical engineering,

Fundamentals of mechanical engineering,

© 2026 Juraj Dobrovolný, Ján Danko, Martin Bernáth, Tomáš Milesich, Igor Kevický, Ľuboš Magdolen, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 76 (2026): Issue 2 (November 2026)

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