Online calibration of deep learning sub-models for hybrid numerical modeling systems
Abstract Defining end-to-end (or online) training schemes for the calibration of neural sub-models in hybrid systems requires working with an optimization problem that involves the solver of the physical equations. Online learning methodologies thus require the numerical model to be differentiable,...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-024-01880-7 |
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