Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques

• Main Authors: Afan, Haitham Abdulmohsin, Osman, Ahmedbahaaaldin Ibrahem Ahmed, Essam, Yusuf, Ahmed, Ali Najah, Huang, Yuk Feng, Kisi, Ozgur, Sherif, Mohsen, Sefelnasr, Ahmed, Chau, Kwok-wing, El-Shafie, Ahmed
• Format: Article
• Published: Taylor & Francis 2021
• Subjects: T Technology (General); TJ Mechanical engineering and machinery
• Online Access: http://eprints.um.edu.my/34311/
• Institution: Universiti Malaya

This study proposes two techniques: Deep Learning (DL) and Ensemble Deep Learning (EDL) to predict groundwater level (GWL) for five wells in Malaysia. Two scenarios were proposed, scenario-1 (S1): GWL from 4 wells was used as inputs to predict the GWL in the fifth well and scenario-2 (S2): time seri...