Estimating the standardized precipitation evapotranspiration index using data-driven techniques: a regional study of Bangladesh

Drought prediction is the most effective way to mitigate drought impacts. The current study examined the ability of three renowned machine learning models, namely additive regression (AR), random subspace (RSS), and M5P tree, and their hybridized versions (AR-RSS, AR-M5P, RSS-M5P, and AR-RSS-M5P) in...

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Bibliographic Details
Main Authors: Elbeltagi, Ahmed, Al Thobiani, Faisal, Mohammad Kamruzzaman, Mohammad Kamruzzaman, Shaid, Shamsuddin, Roy, Dilip Kumar, Limon Deb, Limon Deb, Islam, Md. Mazadul, Kundu, Palash Kumar, Rahman, Md. Mizanur
Format: Article
Language:English
Published: MDPI 2022
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Online Access:http://eprints.utm.my/104703/1/ShamsuddinShahid2022_EstimatingtheStandardizedPrecipitationEvapotranspiration.pdf
http://eprints.utm.my/104703/
http://dx.doi.org/10.3390/w14111764
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