Using bees algorithm and artificial neural network to forecast world carbon dioxide emission

Energy Sources, Part A: Recovery, Utilization and Environmental Effects

Volumn 33, Issue 19, 2011, Pages 1747-1759

  Behrang, M A ^a   Assareh, E ^a   Assari, M R ^a   Ghanbarzadeh, A ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

artificial neural networks; bees algorithm; carbon dioxide emission; forecasting; fossil fuels; primary energy

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BEES ALGORITHMS; CARBON DIOXIDE EMISSION; CARBON DIOXIDE EMISSIONS; CORRELATION COEFFICIENT; GROSS DOMESTIC PRODUCTS; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; OBSERVED DATA; OIL TRADE; PRIMARY ENERGIES; PRIMARY ENERGY CONSUMPTION; PRIMARY ENERGY DEMAND; SOCIO-ECONOMICS; TIME DOMAIN;

ALGORITHMS; CARBON DIOXIDE; ECONOMICS; ENERGY UTILIZATION; FORECASTING; FOSSIL FUELS; GLOBAL WARMING; NATURAL GAS; NETWORK LAYERS;

NEURAL NETWORKS;

EID: 79961041341     PISSN: 15567036     EISSN: 15567230     Source Type: Journal    
DOI: 10.1080/15567036.2010.493920     Document Type: Article

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