Groundwater Level Prediction Using a Multiple Objective Genetic Algorithm-Grey Relational Analysis Based Weighted Ensemble of ANFIS Models

Groundwater Level Prediction Using a Multiple Objective Genetic Algorithm-Grey Relational Analysis Based Weighted Ensemble of ANFIS Models

Predicting groundwater levels is critical for ensuring sustainable use of an aquifer’s limited groundwater reserves and developing a useful groundwater abstraction management strategy. The purpose of this study was to assess the predictive accuracy and estimation capability of various models based o...

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Autores principales: Dilip Kumar Roy, Sujit Kumar Biswas, Mohamed A. Mattar, Ahmed A. El-Shafei, Khandakar Faisal Ibn Murad, Kowshik Kumar Saha, Bithin Datta, Ahmed Z. Dewidar
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
groundwater level predictions
multiple objective genetic algorithm
evolutionary algorithm optimized ANFIS
ensemble prediction
entropy
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Acceso en línea:https://doaj.org/article/ad7be52a1d7944f7890b6f21f46aac1e
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https://doaj.org/article/ad7be52a1d7944f7890b6f21f46aac1e

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