Daily streamflow prediction based on the long short-term memory algorithm: a case study in the Vietnamese Mekong Delta

Daily streamflow prediction based on the long short-term memory algorithm: a case study in the Vietnamese Mekong Delta

The objective of this study is the development of a state-of-the-art method based on long short-term memory (LSTM), support vector machine (SVM), and random forest (RF) to predict the streamflow in the Mekong Delta in Vietnam, an area crucial to Vietnam's food security. Water level and flow dat...

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Detalhes bibliográficos
Principais autores: Huu Duy Nguyen, Chien Pham Van, Quoc-Huy Nguyen, Quang-Thanh Bui
Formato: Artigo
Idioma:English
Publicado em: IWA Publishing 2023-04-01
coleção:Journal of Water and Climate Change
Assuntos:
long short-term memory
machine learning
mekong delta
streamflow
Acesso em linha:http://jwcc.iwaponline.com/content/14/4/1247

Internet

http://jwcc.iwaponline.com/content/14/4/1247

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