Storm Surge Forecast Using an Encoder–Decoder Recurrent Neural Network Model
This study presents an encoder–decoder neural network model to forecast storm surges on the US North Atlantic Coast. The proposed multivariate time-series forecast model consists of two long short-term memory (LSTM) models. The first LSTM model encodes the input sequence, including storm position, c...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2022-12-01
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| Colecção: | Journal of Marine Science and Engineering |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2077-1312/10/12/1980 |
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