Mathematical modeling and process parameters optimization studies by artificial neural network and response surface methodology: A case of non-edible neem (Azadirachta indica) seed oil biodiesel synthesis

Energy

Volumn 72, Issue , 2014, Pages 266-273

  Betiku, Eriola ^a   Omilakin, Oluwasesan Ropo ^a   Ajala, Sheriff Olalekan ^a   Okeleye, Adebisi Aminat ^a   Taiwo, Abiola Ezekiel ^a   Solomon, Bamidele Ogbe ^a  

^a OBAFEMI AWOLOWO UNIVERSITY   (Nigeria)

Author keywords

Artificial neural network; Biodiesel; Neem oil; Optimization; Response surface methodology

Indexed keywords

BIODIESEL; METHANOL; OPTIMIZATION; PETROLEUM INDUSTRY; POTASSIUM HYDROXIDE; REGRESSION ANALYSIS; SURFACE PROPERTIES; SYNTHETIC FUELS;

ABSOLUTE AVERAGE DEVIATION; AZADIRACHTA INDICA; BIODIESEL PRODUCTION; BIODIESEL SYNTHESIS; NEEM OIL; PROCESS PARAMETERS OPTIMIZATIONS; QUADRATIC REGRESSION; RESPONSE SURFACE METHODOLOGY;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BIOFUEL; EVERGREEN TREE; MATHEMATICAL ANALYSIS; NUMERICAL MODEL; OPTIMIZATION; PARAMETERIZATION; TEMPERATURE EFFECT; VEGETABLE OIL;

AZADIRACHTA INDICA;

EID: 84904168490     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2014.05.033     Document Type: Article

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