A priori physical information to aid generalization capabilities of neural networks for hydraulic modeling
The application of Neural Networks to river hydraulics and flood mapping is fledgling, despite the field suffering from data scarcity, a challenge for machine learning techniques. Consequently, many purely data-driven Neural Networks have shown limited capabilities when tasked with predicting new sc...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Complex Systems |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcpxs.2024.1508091/full |