Model order reduction based on Runge–Kutta neural networks
Model order reduction (MOR) methods enable the generation of real-time-capable digital twins, with the potential to unlock various novel value streams in industry. While traditional projection-based methods are robust and accurate for linear problems, incorporating machine learning to deal with nonl...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2021-01-01
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Series: | Data-Centric Engineering |
Subjects: | |
Online Access: | https://www.cambridge.org/core/product/identifier/S2632673621000150/type/journal_article |