Reference:Reference-021317: Difference between revisions
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| | |Firstname=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 | |||
|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= | |||
|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
|
