Enhancing short-term streamflow prediction in the Haihe River Basin through integrated machine learning with Lasso

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Bibliographische Detailangaben
Veröffentlicht in:Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 89(2024), 9 vom: 11. Mai, Seite 2367-2383
1. Verfasser: Song, Yongyu (VerfasserIn)
Weitere Verfasser: Zhang, Jing
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Water science and technology : a journal of the International Association on Water Pollution Research
Schlagworte:Journal Article Lasso long short-term memory random forest streamflow prediction transformer for time series