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 | None |
| Booktitle | Artificial Intelligence in Hydrology |
| Volume | None |
| Pages | None |
| URL | https://iwaponline.com/ebooks/book/925/chapter/3763414/Evaluating-the-long-short-term-memory-LSTM-network |
| DOI | None |
| ISBN | |
| Note | Auto downloaded ref at: 2024-08-29
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | 3d8c3253603b3d82f4af74b211f843e649394d7e |
| CorpusID | 248066074 |
| 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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