Comparative study of Hargreaves's and artificial neural network's methodologies in estimating reference evapotranspiration in a semiarid environment

Irrigation Science

Volumn 26, Issue 3, 2008, Pages 253-259

  Rahimi Khoob, Ali ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATOLOGY; COMPUTATION THEORY; NEURAL NETWORKS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION;

HARGREAVES EQUATION (HG); PENMAN-MONTEITH EQUATION; SEMIARID ENVIRONMENT;

EVAPOTRANSPIRATION;

CLIMATOLOGY; COMPUTATION THEORY; EVAPOTRANSPIRATION; NEURAL NETWORKS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; ESTIMATION METHOD; EVAPOTRANSPIRATION; PENMAN-MONTEITH EQUATION; SEMIARID REGION;

EID: 39649125438     PISSN: 03427188     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00271-007-0090-z     Document Type: Article

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