Prediction of the cetane number of biodiesel using artificial neural networks and multiple linear regression

Energy Conversion and Management

Volumn 65, Issue , 2013, Pages 255-261

  Piloto Rodríguez, Ramón ^a   Sánchez Borroto, Yisel ^a   Lapuerta, Magin ^b   Goyos Pérez, Leonardo ^a   Verhelst, Sebastian ^c  

^a UNIVERSITY OF HAVANA   (Cuba)

^b UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^c GHENT UNIVERSITY   (Belgium)

Author keywords

Biodiesel; Cetane number; Ester composition; Fatty acid; Neural network

Indexed keywords

BACKPROPAGATION NETWORK; FATTY ACID METHYL ESTER; LEVENBERG-MARQUARDT ALGORITHM; MULTIPLE LINEAR REGRESSIONS; MULTIPLE REGRESSIONS; VALIDATION DATA;

ANTIKNOCK RATING; BACKPROPAGATION ALGORITHMS; BIODIESEL; ESTERIFICATION; ESTERS; FATTY ACIDS; FORECASTING; LINEAR REGRESSION; STATISTICS;

NEURAL NETWORKS;

EID: 84867421439     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2012.07.023     Document Type: Article

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