Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: Comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN)

Ultrasonics Sonochemistry

Volumn 26, Issue , 2015, Pages 218-228

  Sarve, Antaram ^a   Sonawane, Shriram S ^a   Varma, Mahesh N ^a  

^a VISVESVARAYA NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network; Biodiesel; Response surface method; Sesame oil; Ultrasonication

Indexed keywords

BARIUM COMPOUNDS; BIODIESEL; FORECASTING; MEAN SQUARE ERROR; METHANOL; NEURAL NETWORKS; SENSITIVITY ANALYSIS; SURFACE PROPERTIES; SYNTHETIC FUELS; ULTRASONICS;

ARTIFICIAL NEURAL NETWORK MODELS; CENTRAL COMPOSITE DESIGNS; DESIRABILITY FUNCTION APPROACH; RESPONSE SURFACE METHOD; RESPONSE SURFACE METHODOLOGY; SESAME OIL; STANDARD ERROR OF PREDICTION; ULTRA-SONICATION;

CATALYSTS;

BARIUM HYDROXIDE; BIODIESEL; HEXANOIC ACID; METHANOL; OIL; SESAME SEED OIL; UNCLASSIFIED DRUG; BARIUM DERIVATIVE; BIOFUEL; VEGETABLE OIL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CATALYST; GAS CHROMATOGRAPHY; PRIORITY JOURNAL; REACTION TIME; RESPONSE SURFACE METHOD; SESAMUM; TEMPERATURE; BIOTECHNOLOGY; CATALYSIS; CHEMISTRY; COMPARATIVE STUDY; PROCEDURES; THEORETICAL MODEL; ULTRASOUND;

BARIUM COMPOUNDS; BIOFUELS; BIOTECHNOLOGY; CATALYSIS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PLANT OILS; SESAMUM; ULTRASONIC WAVES;

EID: 84928330840     PISSN: 13504177     EISSN: 18732828     Source Type: Journal    
DOI: 10.1016/j.ultsonch.2015.01.013     Document Type: Article

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