Artificial neural network-genetic algorithm for estimation of crop evapotranspiration in a semi-arid region of Iran

Neural Computing and Applications

Volumn 23, Issue 5, 2013, Pages 1387-1393

  Aghajanloo, Mohammad Bagher ^a   Sabziparvar, Ali Akbar ^b   Hosseinzadeh Talaee, P ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b BU ALI SINA UNIVERSITY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Cold semi arid climate; Neural network genetic algorithm; Nonlinear regression; Penman Monteith FAO 56 model

Indexed keywords

COEFFICIENT OF DETERMINATION; CROP EVAPOTRANSPIRATION; METEOROLOGICAL DATA; MULTIVARIATE NON-LINEAR REGRESSION; NON-LINEAR REGRESSION; PENMAN-MONTEITH; SEMI-ARID CLIMATE; SEMI-ARID REGION;

ARID REGIONS; ATMOSPHERIC PRESSURE; CLIMATE MODELS; CROPS; EVAPOTRANSPIRATION; METEOROLOGY; NEURAL NETWORKS; OPTIMIZATION; SUN; WATER SUPPLY;

GENETIC ALGORITHMS;

EID: 84884816020     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1087-y     Document Type: Article

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