Reference:Reference-021317
From CSDMS
| Author(s) | Volpi, Elena; Kim, Jong Suk; Jain, Shaleen; Shrestha, Sangam; de Moura, Carolina Natel; Seibert, Jan; Marco Detzel, Daniel Henrique; | |
| BibType | bookSection | |
| Title | Evaluating the long short-term memory (LSTM) network for discharge prediction under changing climate conditions | |
| Editors | ||
| Year | 2024-06-15 | |
| Journal | ||
| Booktitle | Artificial Intelligence in Hydrology | |
| Volume | ||
| Pages | ||
| URL | https://iwaponline.com/ebooks/book/925/chapter/3763414/Evaluating-the-long-short-term-memory-LSTM-network | |
| DOI | ||
| ISBN | ||
| Note | Auto downloaded ref at: 2024-08-29
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| Which groups | ||
| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 0 | |
| Semantic_ID | 3d8c3253603b3d82f4af74b211f843e649394d7e | |
| Nr of citations | 6 | |
| Sort of publication | a module application description | |
| Sort of model publication | a single module | |
| Is the CSDMS HPC used | No | |
| If HPC is used, for what project was it?: | ||
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| Model(s) discussed: | HBV
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