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pro vyhledávání: '"Abdol-Baset Osmani"'
Autor:
Javad Hatamiafkoueieh, Salim Heddam, Saeed Khoshtinat, Solmaz Khazaei, Abdol-Baset Osmani, Ebrahim Nohani, Mohammad Kiomarzi, Ehsan Sharafi, John Tiefenbacher
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2643-2659 (2023)
In this study, the vote algorithm used to improve the performances of three machine-learning models including M5Prime (M5P), random forest (RF), and random tree (RT) is developed (i.e. V-M5P, V-RF, and V-RT). Developed models were tested for forecast
Externí odkaz:
https://doaj.org/article/98d3820ddf4e4daaa17796f9c0519007