Groundwater level forecasting using ensemble coactive neuro-fuzzy inference system
A modeling framework utilizing the coactive neuro-fuzzy inference system (CANFIS) has been developed for multi-lead time groundwater level (GWL) forecasting in four different wells located in Texas and Florida, USA. Various model input combinations, including GWL, precipitation, temperature, and sur...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/44257/ https://doi.org/10.1016/j.scitotenv.2023.168760 |
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