Using MARS, SVM, GEP and empirical equations for estimation of monthly mean reference evapotranspiration

Computers and Electronics in Agriculture

Volumn 139, Issue , 2017, Pages 103-114

  Mehdizadeh, Saeid ^a   Behmanesh, Javad ^a   Khalili, Keivan ^a  

^a URMIA UNIVERSITY   (Iran)

Author keywords

Empirical equations; Gene expression programming; Multivariate adaptive regression splines; Reference evapotranspiration; Support vector machine

Indexed keywords

CALIBRATION; EVAPOTRANSPIRATION; GENE EXPRESSION; GENES; MASS TRANSFER; RADIAL BASIS FUNCTION NETWORKS; SOFT COMPUTING; SPLINES; WATER MANAGEMENT; WATER RESOURCES;

ARID AND SEMI-ARID REGIONS; EMPIRICAL EQUATIONS; GENE EXPRESSION PROGRAMMING; METEOROLOGICAL PARAMETERS; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; PENMAN-MONTEITH METHOD; REFERENCE EVAPOTRANSPIRATION; SOFT COMPUTING APPROACHES;

SUPPORT VECTOR MACHINES;

ALGORITHM; ANALYTICAL METHOD; CALIBRATION; EMPIRICAL ANALYSIS; EQUATION; EVAPOTRANSPIRATION; HYDROLOGICAL CYCLE; HYDROMETEOROLOGY; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PARAMETER ESTIMATION; PENMAN-MONTEITH EQUATION; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE;

IRAN;

EID: 85019550364     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2017.05.002     Document Type: Article

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