Reference:Reference-010605
From CSDMS
| Author(s) | Fan, Shuntao; Xiao, Nianhao; Dong, Sheng; | |
| BibType | journalArticle | |
| Title | A novel model to predict significant wave height based on long short-term memory network | |
| Editors | ||
| Year | 2020-06-01 | |
| Journal | Ocean Engineering | |
| Booktitle | ||
| Volume | 205 | |
| Pages | 107298 | |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0029801820303401 | |
| DOI | 10.1016/j.oceaneng.2020.107298 | |
| ISBN | ||
| Note | Auto downloaded ref at: 2020-06-27
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| Highlighted paper on group site | ||
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| Which groups | ||
| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 3015420071 | |
| Semantic_ID | 1bf6758dc69d81f26dbd2b334f8613bccee60c27 | |
| Nr of citations | 169 | |
| 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: | SWAN |
