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Evaluating Artificial Neural Network and Physical-Empirical Models of Reference Crop Evapotranspiration Estimation in Semi-Arid Climate

Document Type : Research Paper

Author

  • Homayon Fagih

Keywords

  • Artificial neural network
  • evapotranspiration
  • Lysimeter
  • Semi-arid climate

Water and Soil Science
Volume 25, 4/2
March 2016
Pages 137-152

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APA

Fagih, H. (2016). Evaluating Artificial Neural Network and Physical-Empirical Models of Reference Crop Evapotranspiration Estimation in Semi-Arid Climate. Water and Soil Science, 25(4/2), 137-152.

MLA

Fagih, H. . "Evaluating Artificial Neural Network and Physical-Empirical Models of Reference Crop Evapotranspiration Estimation in Semi-Arid Climate", Water and Soil Science, 25, 4/2, 2016, 137-152.

HARVARD

Fagih, H. (2016). 'Evaluating Artificial Neural Network and Physical-Empirical Models of Reference Crop Evapotranspiration Estimation in Semi-Arid Climate', Water and Soil Science, 25(4/2), pp. 137-152.

CHICAGO

H. Fagih, "Evaluating Artificial Neural Network and Physical-Empirical Models of Reference Crop Evapotranspiration Estimation in Semi-Arid Climate," Water and Soil Science, 25 4/2 (2016): 137-152,

VANCOUVER

Fagih, H. Evaluating Artificial Neural Network and Physical-Empirical Models of Reference Crop Evapotranspiration Estimation in Semi-Arid Climate. Water and Soil Science, 2016; 25(4/2): 137-152.

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