Application of artificial intelligence algorithms for hourly river level forecast: A case study of Muda River, Malaysia

A reliable river water level model to forecast the changes in different lead times is vital for flood warning systems, especially in countries like Malaysia, where flood is considered the most devastating natural disaster. In the current study, the ability of two artificial intelligence (AI) based d...

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Bibliographic Details

Published in:	Alexandria Engineering Journal
Main Authors:	Muhamad Nur Adli Zakaria, Marlinda Abdul Malek, Maslina Zolkepli, Ali Najah Ahmed
Format:	Article
Language:	English
Published:	Elsevier 2021-08-01
Subjects:	River level Flood forecasting Short-term forecasting ANFIS, MLP-NN
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016821001356