Model order reduction assisted by deep neural networks (ROM-net)

Model order reduction assisted by deep neural networks (ROM-net)

Abstract In this paper, we propose a general framework for projection-based model order reduction assisted by deep neural networks. The proposed methodology, called ROM-net, consists in using deep learning techniques to adapt the reduced-order model to a stochastic input tensor whose nonparametrized...

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Bibliographic Details
Main Authors: Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck
Format: Article
Language:English
Published: SpringerOpen 2020-04-01
Series:Advanced Modeling and Simulation in Engineering Sciences
Subjects:
Model order reduction
Machine learning
Deep neural networks
Nonlinear structural mechanics
Online Access:http://link.springer.com/article/10.1186/s40323-020-00153-6

Internet

http://link.springer.com/article/10.1186/s40323-020-00153-6

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