Estimation of Daily Reference Evapotranspiration (ET0) in the North of Algeria Using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multiple Linear Regression (MLR) Models: A Comparative Study
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Title
Estimation of Daily Reference Evapotranspiration (ET0) in the North of Algeria Using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multiple Linear Regression (MLR) Models: A Comparative Study
Authors
Keywords
Reference evapotranspiration (ET<sub>0</sub>), Adaptive Neuro-fuzzy inference system, ANFIS, Multiple linear regression, MLR, Penman method, Modelling
Journal
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
Volume 39, Issue 8, Pages 5959-5969
Publisher
Springer Nature
Online
2014-06-03
DOI
10.1007/s13369-014-1151-2
References
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Note: Only part of the references are listed.- Modeling daily reference evapotranspiration (ET0) in the north of Algeria using generalized regression neural networks (GRNN) and radial basis function neural networks (RBFNN): a comparative study
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- SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
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