HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin
Machine learning (ML) has played an increasing role in the hydrological sciences. In particular, Long Short-Term Memory (LSTM) networks are popular for rainfall–runoff modeling. A large majority of studies that use this type of model do not follow best practices, and there is one mistake in particul...
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| Published in: | Hydrology and earth system sciences Vol. 28; no. 17; pp. 4187 - 4201 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Katlenburg-Lindau
Copernicus GmbH
12.09.2024
Copernicus Publications |
| Subjects: | |
| ISSN: | 1607-7938, 1027-5606, 1607-7938 |
| Online Access: | Get full text |
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