Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence
Transfer learning (TL) is a powerful tool for enhancing the performance of neural networks (NNs) in applications such as weather and climate prediction and turbulence modeling. TL enables models to generalize to out-of-distribution data with minimal training data from the new system. In this study,...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
IOP Publishing
2026-01-01
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| Sraith: | Machine Learning. Earth |
| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.1088/3049-4753/ae510d |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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