Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

Journal of Hydrology

Volumn 528, Issue , 2015, Pages 312-320

  Kisi, Ozgur ^a  

^a CANIK BASARI UNIVERSITY   (Turkey)

Author keywords

Cross station application; Estimation; Least square support vector machine; M5 model tree; Multivariate adaptive regression splines; Pan evaporation

Indexed keywords

ABILITY TESTING; ESTIMATION; EVAPORATION; FORESTRY; INPUT OUTPUT PROGRAMS; MEAN SQUARE ERROR; POTABLE WATER; REGRESSION ANALYSIS; RESERVOIR MANAGEMENT; RESERVOIRS (WATER); SPLINES; THERMAL PROCESSING (FOODS); WATER RESOURCES; WATER SUPPLY; WIND;

CROSS-VALIDATION METHODS; DETERMINATION COEFFICIENTS; LEAST SQUARE SUPPORT VECTOR MACHINES; M5 MODEL TREE; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; PAN EVAPORATION; REGIONAL WATER RESOURCES; ROOT MEAN SQUARE ERRORS;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; AIR TEMPERATURE; DECISION ANALYSIS; DRINKING WATER; LEAST SQUARES METHOD; MEASUREMENT METHOD; MEDITERRANEAN ENVIRONMENT; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; RELATIVE HUMIDITY; RESERVOIR; SOLAR RADIATION; WATER SUPPLY; WIND VELOCITY;

DRINKING WATER; EVAPORATION; REGRESSION ANALYSIS; WATER MANAGEMENT;

ANTALYA [ANTALYA (PRV)]; ANTALYA [TURKEY]; MERSIN [MERSIN (PRV)]; MERSIN [TURKEY]; TURKEY;

EID: 84934325903     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2015.06.052     Document Type: Article

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