Kadkhodazadeh, M.; Valikhan Anaraki, M.; Morshed-Bozorgdel, A.; Farzin, S.
A New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods. Sustainability 2022, 14, 2601.
https://doi.org/10.3390/su14052601
AMA Style
Kadkhodazadeh M, Valikhan Anaraki M, Morshed-Bozorgdel A, Farzin S.
A New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods. Sustainability. 2022; 14(5):2601.
https://doi.org/10.3390/su14052601
Chicago/Turabian Style
Kadkhodazadeh, Mojtaba, Mahdi Valikhan Anaraki, Amirreza Morshed-Bozorgdel, and Saeed Farzin.
2022. "A New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods" Sustainability 14, no. 5: 2601.
https://doi.org/10.3390/su14052601
APA Style
Kadkhodazadeh, M., Valikhan Anaraki, M., Morshed-Bozorgdel, A., & Farzin, S.
(2022). A New Methodology for Reference Evapotranspiration Prediction and Uncertainty Analysis under Climate Change Conditions Based on Machine Learning, Multi Criteria Decision Making and Monte Carlo Methods. Sustainability, 14(5), 2601.
https://doi.org/10.3390/su14052601