Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression

Irrigation Science

Volumn 28, Issue 5, 2010, Pages 399-406

  Tabari, Hossein ^a   Marofi, Safar ^a   Sabziparvar, Ali Akbar ^a  

^a BU ALI SINA UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; BEST ESTIMATES; DAILY PAN EVAPORATION; DELTA-BAR-DELTA; HYDROLOGICAL CYCLES; INPUT PARAMETER; KEY ELEMENTS; METEOROLOGICAL VARIABLES; MODEL PERFORMANCE; MULTIVARIATE NON-LINEAR REGRESSION; NATURAL SURFACE; PAN EVAPORATION; RELATIVE HUMIDITIES; SEMI-ARID REGION; SIGMOID ACTIVATION FUNCTION; WIND SPEED;

ARID REGIONS; ATMOSPHERIC HUMIDITY; DELTA FUNCTIONS; EVAPORATION; LEARNING ALGORITHMS; SENSITIVITY ANALYSIS; SUN;

NEURAL NETWORKS;

AIR TEMPERATURE; ALGORITHM; ARTIFICIAL NEURAL NETWORK; EVAPORATION; HYDROLOGICAL CYCLE; HYDROMETEOROLOGY; MULTIVARIATE ANALYSIS; NONLINEARITY; PRECIPITATION (CLIMATOLOGY); REGRESSION ANALYSIS; RELATIVE HUMIDITY; SENSITIVITY ANALYSIS; SOLAR RADIATION; WIND VELOCITY;

EID: 77953692036     PISSN: 03427188     EISSN: 14321319     Source Type: Journal    
DOI: 10.1007/s00271-009-0201-0     Document Type: Article

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