Newly explored machine learning model for river flow time series forecasting at Mary River, Australia.

Cui, Fang; Salih, Sinan Q; Choubin, Bahram; Bhagat, Suraj Kumar; Samui, Pijush; Yaseen, Zaher Mundher

Cui, Fang; Salih, Sinan Q; Choubin, Bahram; Bhagat, Suraj Kumar; Samui, Pijush; Yaseen, Zaher Mundher.

Afiliación

Cui F; Key Lab of Disasters Monitoring and Mechanism Simulating of Shannxi Province, Baoji University of Art & Sciences, Baoji, 721013, Shannxi, People's Republic of China.
Salih SQ; Geography and Environment Department, Baoji University of Art & Sciences, Baoji, 721013, Shannxi, People's Republic of China.
Choubin B; Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam.
Bhagat SK; Computer Science Department, Dijlah University College, Baghdad, Iraq.
Samui P; Soil Conservation and Watershed Management Research Department, West Azarbaijan Agricultural and Natural Resources Research and Education Center, AREEO, Urmia, Iran.
Yaseen ZM; Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.

Environ Monit Assess ; 192(12): 761, 2020 Nov 14.

Article en En | MEDLINE | ID: mdl-33188607

Asunto(s)

Monitoreo del Ambiente; Ríos; Australia; Predicción; Aprendizaje Automático; Redes Neurales de la Computación

Palabras clave

River flow monitoring; Water resources management; Emotional neural network; Machine learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Ríos Tipo de estudio: Prognostic_studies País/Región como asunto: Oceania Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2020 Tipo del documento: Article Pais de publicación: Países Bajos

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