Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia

Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia

Accurate water level prediction for both lake and river is essential for flood warning and freshwater resource management. In this study, three machine learning algorithms: multi-layer perceptron neural network (MLP-NN), long short-term memory neural network (LSTM) and extreme gradient boosting XGBo...

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Bibliographic Details
Main Authors: Muhamad Nur Adli Zakaria, Ali Najah Ahmed, Marlinda Abdul Malek, Ahmed H. Birima, Md Munir Hayet Khan, Mohsen Sherif, Ahmed Elshafie
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Heliyon
Subjects:
Water level
Machine learning
MLP
LSTM
XGBoost
Muda river
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023048971

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