Artificial neural networks used for the prediction of the cetane number of biodiesel

Renewable Energy

Volumn 31, Issue 15, 2006, Pages 2524-2533

  Ramadhas, A S ^a   Jayaraj, S ^a   Muraleedharan, C ^a   Padmakumari, K ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY CALICUT   (India)

Author keywords

Artificial neural networks; Biodiesel; Cetane number

Indexed keywords

ANTIKNOCK RATING; COMPOSITION; IGNITION; INTERNAL COMBUSTION ENGINES; MATHEMATICAL MODELS; NEURAL NETWORKS;

BIODIESEL; ESTIMATION TECHNIQUES; GENERALIZED REGRESSION; MULTI-LAYER FEED FORWARD;

SYNTHETIC FUELS;

ANTIKNOCK RATING; COMPOSITION; IGNITION; INTERNAL COMBUSTION ENGINES; MATHEMATICAL MODELS; NEURAL NETWORKS; SYNTHETIC FUELS;

BIOFUEL; ENGINE; FATTY ACID; INFORMATION PROCESSING; PERFORMANCE ASSESSMENT; PREDICTION;

EID: 33747178177     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2006.01.009     Document Type: Article

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