Prediction of density and viscosity of biofuel compounds using machine learning methods

Energy and Fuels

Volumn 26, Issue 4, 2012, Pages 2416-2426

  Saldana, Diego Alonso ^a   Starck, Laurie ^a   Mougin, Pascal ^a   Rousseau, Bernard ^b   Ferrando, Nicolas ^a   Creton, Benoit ^a  

^a IFP ENERGIES NOUVELLES   (France)

^b UNIVERSITÉ PARIS SUD   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON ATOMS; CHEMICAL FAMILY; CRITICAL PRESSURES; CRITICAL TEMPERATURES; DESCRIPTORS; DYNAMIC VISCOSITIES; EXPERIMENTAL DATA; FUEL MIXTURES; INDIVIDUAL MODELS; MACHINE LEARNING METHODS; MOLECULAR DESCRIPTORS; PURE COMPOUNDS; TEMPERATURE DEPENDENT;

ALTERNATIVE FUELS; FUNCTIONAL GROUPS; LEARNING SYSTEMS; NEURAL NETWORKS; VISCOMETERS;

FORECASTING;

EID: 84860197763     PISSN: 08870624     EISSN: 15205029     Source Type: Journal    
DOI: 10.1021/ef3001339     Document Type: Article

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