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

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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Bibliographic Details
Main Authors: Ahmedbahaaaldin Ibrahem Ahmed Osman, Ali Najah Ahmed, Ming Fai Chow, Yuk Feng Huang, Ahmed El-Shafie
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Ain Shams Engineering Journal
Subjects:
Groundwater level prediction
Machine learning algorithm
Artificial neural network
Support vector regression
Cross-correlation
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447921000125

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