<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper deals with possibilities of utilizing neural networks in reduced order modelling. First section of the paper contains theory on reduced order models and their implementations. Following this, subsequent chapter contains methodology concept for obtaining sufficient amount of data and creating reduced order models as well as their evaluation process. Next section describes our findings and summarizes them. Conclusion describes further steps we plan to take in this research.</p>
</abstract>

This paper deals with possibilities of utilizing neural networks in reduced order modelling. First section of the paper contains theory on reduced order models and their implementations. Following this, subsequent chapter contains methodology concept for obtaining sufficient amount of data and creating reduced order models as well as their evaluation process. Next section describes our findings and summarizes them. Conclusion describes further steps we plan to take in this research.

Implementation of Reduced-Order Model to Design of Electric Powertrain Rubber Mount

Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering

Strojnícky časopis - Journal of Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This paper deals with possibilities of utilizing neural networks in reduced order modelling. First section of the paper contains theory on reduced order models...

Implementation of Reduced-Order Model to Design of Electric Powertrain Rubber Mount

Publié en ligne: 01 juin 2024

Pages: 1 - 8

DOI: https://doi.org/10.2478/scjme-2024-0001

Mots clés
reduced order model, neural network, multilayer perceptron, proper orthogonal decomposition, rubber mount

© 2024 Ján Danko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Implementation of Reduced-Order Model to Design of Electric Powertrain Rubber Mount

Publié en ligne: 01 juin 2024

Pages: 1 - 8

DOI: https://doi.org/10.2478/scjme-2024-0001

Mots clésreduced order model, neural network, multilayer perceptron, proper orthogonal decomposition, rubber mount

© 2024 Ján Danko et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
reduced order model, neural network, multilayer perceptron, proper orthogonal decomposition, rubber mount