Attesting compliance of biodiesel quality using composition data and classification methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-017-3087-4.pdf
Reference46 articles.
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2. Sarin A (2012) Biodiesel: production and properties. Royal Society of Chemistry, Cambridge
3. Alptekin E, Canakci M (2008) Determination of the density and the viscosities of biodiesel–diesel fuel blends. Renew Energy 33:2623–2630
4. Barradas Filho AO, Barros AKD, Labidi S, Viegas IMA, Marques DB, Romariz ARS, De Sousa RM, Marques ALB, Marques EP (2015) Application of artificial neural networks to predict viscosity, iodine value and induction period of biodiesel focused on the study of oxidative stability. Fuel 145:127–135
5. Knothe G (2005) Dependence of biodiesel fuel properties on the structure of fatty acid alkyl esters. Fuel Process Technol 86:1059–1070
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