Reference:Reference-021317
From CSDMS
Publication information
| 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 |
| Year | 2024-06-15 |
| Booktitle | Artificial Intelligence in Hydrology |
| URL | https://iwaponline.com/ebooks/book/925/chapter/3763414/Evaluating-the-long-short-term-memory-LSTM-network |
| Note | Auto downloaded ref at: 2024-08-29 |
Additional information
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| Highlighted paper on group site | No | |
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| Feature reference | No | |
| Semantic_ID | 3d8c3253603b3d82f4af74b211f843e649394d7e | |
| Nr of citations | 20 | |
| 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?: | ||
| Associated simulation movie if any: |
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| Model(s) discussed: | HBV
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