Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree

Computers and Electronics in Agriculture

Volumn 122, Issue , 2016, Pages 112-117

  Kisi, Ozgur ^a   Genc, Onur ^b   Dinc, Semih ^c   Zounemat Kermani, Mohammad ^d  

^a CANIK BASARI UNIVERSITY   (Turkey)

^b MELIKSAH UNIVERSITY   (Turkey)

^c University of Alabama in Huntsville   (United States)

^d SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

Author keywords

ANN; C RT; CHAID; Machine learning algorithms; Pan evaporation

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORECASTING; FORESTRY; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; POTABLE WATER; RESERVOIRS (WATER); WATER RESOURCES; WATER SUPPLY; WATER SUPPLY SYSTEMS; WIND;

AUTOMATIC INTERACTIONS; CHAID; CLASSIFICATION AND REGRESSION TREE; CLIMATIC CONDITIONS; DAILY PAN EVAPORATION; MAXIMUM AND MINIMUM TEMPERATURES; PAN EVAPORATION; WATER RESOURCES MANAGEMENT;

EVAPORATION;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; DATA PROCESSING; DRINKING WATER; EVAPORATION; REGRESSION ANALYSIS; RELATIVE HUMIDITY; SOLAR RADIATION; WATER MANAGEMENT;

ANKARA [TURKEY]; TURKEY;

EID: 84960423143     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2016.01.026     Document Type: Article

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