Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level
The groundwater resources are the essential sources for irrigation and agriculture management. Forecasting groundwater levels (GWL) for the current and future periods is an essential topic of watershed management. The prediction of GWL helps prevent overexploitation. The Auto-Regressive Integrated M...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier Science Ltd
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/42978/ |
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