Performance evaluation of artificial neural network coupled with generic algorithm and response surface methodology in modeling and optimization of biodiesel production process parameters from shea tree (Vitellaria paradoxa) nut butter

Renewable Energy

Volumn 76, Issue , 2015, Pages 408-417

  Betiku, Eriola ^a   Okunsolawo, Samuel S ^a   Ajala, Sheriff O ^a   Odedele, Olatunde S ^a  

^a OBAFEMI AWOLOWO UNIVERSITY   (Nigeria)

Author keywords

Artificial neural network; Biodiesel; Optimization; Response surface methodology; Shea butter; Transesterification

Indexed keywords

BIODIESEL; COMPUTER PROGRAMMING; DAIRIES; FATTY ACIDS; MOLAR RATIO; OPTIMIZATION; POTASSIUM HYDROXIDE; SURFACE PROPERTIES; SYNTHETIC FUELS; TRANSESTERIFICATION; TREES (MATHEMATICS);

ABSOLUTE AVERAGE DEVIATION; COEFFICIENT OF DETERMINATION; HIGH FREE FATTY ACIDS; MODELING AND OPTIMIZATION; RESPONSE SURFACE METHODOLOGY; SHEA BUTTERS; STANDARD SPECIFICATIONS; TRANSESTERIFICATION REACTION;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BIOFUEL; DICOTYLEDON; ESTER; GENETIC ALGORITHM; NUMERICAL MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT; RENEWABLE RESOURCE;

VITELLARIA PARADOXA;

EID: 84914166495     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2014.11.049     Document Type: Review

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