Performance evaluation of ANN and ANFIS models for estimating garlic crop evapotranspiration

Journal of Irrigation and Drainage Engineering

Volumn 137, Issue 5, 2011, Pages 280-286

  Abyaneh, Hamid Zare ^a   Nia, Alireza Moghaddam ^b   Varkeshi, Maryam Bayat ^a   Marofi, Safar ^a   Kisi, Ozgur ^c  

^a BU ALI SINA UNIVERSITY   (Iran)

^b UNIVERSITY OF ZABOL   (Iran)

^c ERCIYES UNIVERSITY   (Turkey)

Author keywords

ANFIS; ANN; Garlic reference evapotranspiration; Modeling.

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; ANFIS MODEL; ANN; ARTIFICIAL NEURAL NETWORK; CROP COEFFICIENT; CROP EVAPOTRANSPIRATION; CROP WATER REQUIREMENTS; ENVIRONMENTAL ASSESSMENT; GARLIC REFERENCE EVAPOTRANSPIRATION; IRRIGATION SCHEDULING; MAXIMUM TEMPERATURE; MODELING.; PERFORMANCE EVALUATION; RELATIVE HUMIDITIES; SEMI-ARID REGION; WATER RESOURCES MANAGEMENT; WIND SPEED;

ARID REGIONS; ATMOSPHERIC HUMIDITY; C (PROGRAMMING LANGUAGE); CROPS; ESTIMATION; FUZZY INFERENCE; FUZZY SYSTEMS; LYSIMETERS; NETWORK ARCHITECTURE; NEURAL NETWORKS; SCHEDULING; SOIL SURVEYS; SUN; WATER SUPPLY;

EVAPOTRANSPIRATION;

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; CROP PRODUCTION; ENVIRONMENTAL ASSESSMENT; ESTIMATION METHOD; EVAPOTRANSPIRATION; FUZZY MATHEMATICS; IRRIGATION; LYSIMETER; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; WATER MANAGEMENT;

HAMADAN; IRAN;

ALLIUM SATIVUM;

EID: 79955799657     PISSN: 07339437     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)IR.1943-4774.0000298     Document Type: Article

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