Monthly Streamflow Prediction by Metaheuristic Regression Approaches Considering Satellite Precipitation Data

In this study, the viability of three metaheuristic regression techniques, CatBoost (CB), random forest (RF) and extreme gradient tree boosting (XGBoost, XGB), is investigated for the prediction of monthly streamflow considering satellite precipitation data. Monthly streamflow data from three measur...

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Bibliographic Details

Published in:	Water (Basel) Vol. 14; no. 22; p. 3636
Main Authors:	Mojtaba Mehraein, Aadhityaa Mohanavelu, Sujay Raghavendra Naganna, Christoph Kulls, Ozgur Kisi
Format:	Journal Article
Language:	English
Published:	MDPI AG 01-11-2022
Subjects:	metaheuristic regression approaches satellite precipitation data streamflow prediction TRMM
Online Access:	Get full text
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