Optimization of base-catalyzed ethanolysis of sunflower oil by regression and artificial neural network models

Fuel Processing Technology

Volumn 114, Issue , 2013, Pages 101-108

  Stamenković, Olivera S ^a   Rajković, Katarina ^b   Veličković, Ana V ^a   Milić, Petar S ^b   Veljković, Vlada B ^a  

^a UNIVERSITY OF NI   (Serbia)

^b High Chemical and Technological School for Professional Studies   (Serbia)

Author keywords

ANN modeling; Biodiesel; Ethanolysis; Optimization; RSM modeling

Indexed keywords

ANN MODELING; ARTIFICIAL NEURAL NETWORK MODELS; BASE-CATALYZED ETHANOLYSIS; ETHANOLYSIS; ETHANOLYSIS REACTIONS; FULL FACTORIAL DESIGN; OPTIMUM REACTION CONDITIONS; SECOND-ORDER POLYNOMIAL EQUATIONS;

BIODIESEL; CATALYSIS; LEAST SQUARES APPROXIMATIONS; LOADING; NEURAL NETWORKS; POLYNOMIALS; VEGETABLE OILS;

OPTIMIZATION;

EID: 84876559435     PISSN: 03783820     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fuproc.2013.03.038     Document Type: Article

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