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...

Description complète

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	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
Format:	article
Langue:	EN
Publié:	MDPI AG 2021
Sujets:	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
Accès en ligne:	https://doaj.org/article/ad7be52a1d7944f7890b6f21f46aac1e
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Soyez le premier à ajouter un commentaire!

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

Documents similaires