Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

Groundwater levels have been declining recently in Malaysia. This is why, the current study was aimed to propose an accurate groundwater levels prediction model using machine learning algorithms in highly populated towns in Selangor, Malaysia. The models developed used 11 months of previously record...

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Veröffentlicht in:	Ain Shams Engineering Journal Jg. 12; H. 2; S. 1545 - 1556
Hauptverfasser:	Ibrahem Ahmed Osman, Ahmedbahaaaldin, Najah Ahmed, Ali, Chow, Ming Fai, Feng Huang, Yuk, El-Shafie, Ahmed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.06.2021 Elsevier
Schlagworte:	Artificial neural network Cross-correlation Groundwater level prediction Machine learning algorithm Support vector regression Support vector regression Groundwater level prediction Artificial neural network Cross-correlation Machine learning algorithm
ISSN:	2090-4479
Online-Zugang:	Volltext
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