Reference:Reference-021317: Difference between revisions
From CSDMS
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|Title=Evaluating the long short-term memory (LSTM) network for discharge prediction under changing climate conditions | |Title=Evaluating the long short-term memory (LSTM) network for discharge prediction under changing climate conditions | ||
|Year=2024-06-15 | |Year=2024-06-15 | ||
|Journal= | |Journal= | ||
|Booktitle=Artificial Intelligence in Hydrology | |Booktitle=Artificial Intelligence in Hydrology | ||
|Volume= | |Volume= | ||
|Pages= | |Pages= | ||
|URL=https://iwaponline.com/ebooks/book/925/chapter/3763414/Evaluating-the-long-short-term-memory-LSTM-network | |URL=https://iwaponline.com/ebooks/book/925/chapter/3763414/Evaluating-the-long-short-term-memory-LSTM-network | ||
|DOI= | |DOI= | ||
|Note=Auto downloaded ref at: 2024-08-29 | |Note=Auto downloaded ref at: 2024-08-29 | ||
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Latest revision as of 11:43, 12 November 2024
| 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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| 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?: | |
| Associated simulation movie if any: |
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| Model(s) discussed: | HBV
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