Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques
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...
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Main Authors: | , , , , , , , , , |
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Format: | Article |
Published: |
Taylor and Francis Ltd.
2023
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Institution: | Universiti Tenaga Nasional |