Open AccessInsights into enhanced machine learning techniques for surface water quantity and quality prediction based on data pre-processing algorithms
Author(s) -
Javad Panahi,
Reza Mastouri,
Saeid Shabanlou
Publication year - 2022
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2022.022
Subject(s) - computer science , algorithm , streamflow , nonlinear system , pruning , ensemble learning , series (stratigraphy) , water quality , decision tree , random forest , data mining , artificial intelligence , drainage basin , paleontology , ecology , physics , cartography , quantum mechanics , agronomy , biology , geography
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