Generalizability of machine learning models and empirical equations for the estimation of reference evapotranspiration from temperature in a semiarid region
Author:
Affiliation:
1. Universidade Federal de Viçosa, Brazil
2. Universidade Estadual de Ponta Grossa, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
Multidisciplinary
Link
http://www.scielo.br/pdf/aabc/v93n1/0001-3765-aabc-93-01-e20200304.pdf
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3. Worldwide assessment of the Penman–Monteith temperature approach for the estimation of monthly reference evapotranspiration;ALMOROX J;Theor Appl Climatol,2018
4. Daily reference evapotranspiration estimates by artificial neural networks technique and empirical equations using limited input climate variables;ANTONOPOULOS VZ;Comput Electron Agric,2017
5. Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines;CHENG MY;Appl Soft Comput,2014
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