Modeling monthly evaporation using two different neural computing techniques

Irrigation Science

Volumn 27, Issue 5, 2009, Pages 417-430

  Kişi, Özgür ^a  

^a ERCIYES UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; CALIFORNIA; CLIMATIC DATA; COMPUTING TECHNIQUES; DETERMINATION COEFFICIENTS; ESTIMATION PERFORMANCE; EVAPORATION ESTIMATION; EVAPORATION PROCESS; MULTI-LAYER PERCEPTRONS; MULTI-LINEAR REGRESSION; NEURAL COMPUTING; PAN EVAPORATION; RADIAL BASIS NEURAL NETWORKS; RELATIVE ERRORS; U.S. ENVIRONMENTAL PROTECTION AGENCY; WIND SPEED;

BACKPROPAGATION; COMPUTER SCIENCE; ENVIRONMENTAL PROTECTION AGENCY; ERRORS; ESTIMATION; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; RADIATION PROTECTION; SUN; VAPORS;

EVAPORATION;

AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; ESTIMATION METHOD; EVAPORATION; HUMIDITY; HYDROLOGICAL MODELING; PERFORMANCE ASSESSMENT; PRESSURE; SOLAR RADIATION; WIND VELOCITY;

EID: 67849114055     PISSN: 03427188     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00271-009-0158-z     Document Type: Article

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