Modelling reference evapotranspiration using gene expression programming and artificial neural network at Pantnagar, India

Evapotranspiration is an essential component of the hydrological cycle that is of particular interest for water resource planning. Its quantification is helpful in irrigation scheduling, water balance studies, water allocation, etc. Modelling of reference evapotranspiration (ET0) using both gene exp...

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Detalles Bibliográficos

Principais autores:	Pangam Heramb, Pramod Kumar Singh, K.V. Ramana Rao, A. Subeesh
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2023-12-01
Series:	Information Processing in Agriculture
Assuntos:	Artificial Neural Networks Evolutionary algorithms Gene Expression Programming Machine Learning Regression Analysis Reference evapotranspiration models
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2214317322000531
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