Modelling and prediction of bioethanol production from intermediates and byproduct of sugar beet processing using neural networks

Renewable Energy

Volumn 85, Issue , 2016, Pages 953-958

  Grahovac, Jovana ^a   Jokić, Aleksandar ^a   Dodić, Jelena ^a   Vučurović, Damjan ^a   Dodić, Siniša ^a  

^a UNIVERSITY OF NOVI SAD   (Serbia)

Author keywords

Ethanol; Garson equation; Modelling; Neural networks; Sugar beet; Yeast

Indexed keywords

BIOETHANOL; ETHANOL; FERMENTATION; FORECASTING; MODELS; NETWORK ARCHITECTURE; SUBSTRATES; SUGAR BEETS; YEAST;

BIO-ETHANOL PRODUCTION; FERMENTATION TIME; GARSON EQUATION; MODELLING AND PREDICTIONS; NEURAL NETWORK CONFIGURATIONS; OPTIMAL NETWORK ARCHITECTURE; PREDICTIVE CAPABILITIES; PROCESS PARAMETERS;

NEURAL NETWORKS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; BIOFUEL; CROP RESIDUE; ETHANOL; FERMENTATION; MODELING; PREDICTION; RENEWABLE RESOURCE; SUGAR; SUGAR BEET; YEAST;

BETA VULGARIS SUBSP. VULGARIS;

EID: 84938099481     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2015.07.054     Document Type: Article

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