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Data splitting strategies for improving data driven models for reference evapotranspiration estimation among similar stations

Computers and electronics in agriculture, 2019-07, Vol.162, p.70-81

2019

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Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran

Computers and electronics in agriculture, 2014-10, Vol.108, p.230-241

2014

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New alternatives for reference evapotranspiration estimation in West Africa using limited weather data and ancillary data supply strategies

Theoretical and applied climatology, 2018-05, Vol.132 (3-4), p.701-716

2018

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Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)

Energy conversion and management, 2012-10, Vol.62, p.1-13

2012

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Evaluating the generalizability of GEP models for estimating reference evapotranspiration in distant humid and arid locations

Theoretical and applied climatology, 2017-10, Vol.130 (1-2), p.377-389

2017

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Predicting daily pan evaporation by soft computing models with limited climatic data

Hydrological sciences journal, 2015-06, Vol.60 (6), p.1120-1136

2015

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Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain)

Agricultural water management, 2008-05, Vol.95 (5), p.553-565

2008

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Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

Journal of hydrology (Amsterdam), 2012-01, Vol.414, p.302-316

2012

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Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran

Journal of hydrology (Amsterdam), 2014-01, Vol.508, p.1-11

2014

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Independent testing for assessing the calibration of the Hargreaves–Samani equation: New heuristic alternatives for Iran

Computers and electronics in agriculture, 2015-09, Vol.117, p.70-80

2015

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Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration

Journal of hydrology (Amsterdam), 2013-02, Vol.480, p.46-57

2013

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Alternative heuristics equations to the Priestley–Taylor approach: assessing reference evapotranspiration estimation

Theoretical and applied climatology, 2019-10, Vol.138 (1-2), p.831-848

2019

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Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed through k-fold testing

Hydrology Research, 2015-01, Vol.46 (1), p.72-88

2015

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Forecasting Weekly Evapotranspiration with ARIMA and Artificial Neural Network Models

Journal of irrigation and drainage engineering, 2009-06, Vol.135 (3), p.323-334

2009

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Evaluation of different data management scenarios for estimating daily reference evapotranspiration

Hydrology Research, 2013-01, Vol.44 (6), p.1058-1070

2013

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Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

Journal of hydrology (Amsterdam), 2012, Vol.414-15, p.302-316

2012

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optimization scheme of irrigation advice: a case study, sugar beet in the basque country

Irrigation and drainage, 2014-10, Vol.63 (4), p.488-500

2014

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Closure to “Forecasting Weekly Evapotranspiration with ARIMA and Artificial Neural Network Models” by G. Landeras, A. Ortiz-Barredo, and J. J. López

Journal of irrigation and drainage engineering, 2010-06, Vol.136 (6), p.438-440

2010

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Evaluación de las propiedades psicométricas de la versión española del cuestionario Controlled Ovarian Stimulation Impact Measure para medir el impacto de la estimulación ovárica controlada

Medicina reproductiva y embriología clínica, 2015-12, Vol.2 (3), p.71-81

2015

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Data splitting strategies for improving data driven models for reference evapotranspiration estimation among similar stations

Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran

New alternatives for reference evapotranspiration estimation in West Africa using limited weather data and ancillary data supply strategies

Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)

Evaluating the generalizability of GEP models for estimating reference evapotranspiration in distant humid and arid locations

Predicting daily pan evaporation by soft computing models with limited climatic data

Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain)

Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran

Independent testing for assessing the calibration of the Hargreaves–Samani equation: New heuristic alternatives for Iran

Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration

Alternative heuristics equations to the Priestley–Taylor approach: assessing reference evapotranspiration estimation

Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed through k-fold testing

Forecasting Weekly Evapotranspiration with ARIMA and Artificial Neural Network Models

Evaluation of different data management scenarios for estimating daily reference evapotranspiration

Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

optimization scheme of irrigation advice: a case study, sugar beet in the basque country

Closure to “Forecasting Weekly Evapotranspiration with ARIMA and Artificial Neural Network Models” by G. Landeras, A. Ortiz-Barredo, and J. J. López

Evaluación de las propiedades psicométricas de la versión española del cuestionario Controlled Ovarian Stimulation Impact Measure para medir el impacto de la estimulación ovárica controlada

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