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Investigation of correlation between chemical composition and properties of biodiesel using principal component analysis (PCA) and artificial neural network (ANN)
Version 2 2024-06-06, 01:54
Version 1 2021-01-22, 08:42
journal contribution
posted on 2024-06-06, 01:54 authored by MI Jahirul, MG Rasul, RJ Brown, W Senadeera, Anwar HosenAnwar Hosen, R Haque, SC Saha, TMI MahliaInvestigation of correlation between chemical composition and properties of biodiesel using principal component analysis (PCA) and artificial neural network (ANN)
History
Journal
Renewable EnergyVolume
168Pagination
632-646Location
Amsterdam, The NetherlandsPublisher DOI
ISSN
0960-1481eISSN
1879-0682Language
EnglishPublication classification
C1 Refereed article in a scholarly journalPublisher
ElsevierUsage metrics
Categories
Keywords
Artificial neural network (ANN)BiodieselCATALYZED TRANSESTERIFICATIONEnergy & FuelsFuel propertiesFUEL PROPERTIESGreen & Sustainable Science & TechnologyL. SEED OILLOW-TEMPERATUREMADHUCA-INDICAOIL METHYL-ESTERSPALM OILPERFORMANCE EVALUATIONPrinciple component analysis (PCA)Science & TechnologyScience & Technology - Other TopicsSUNFLOWER OILTechnologyWASTE COOKING OIL080110 Simulation and Modelling090201 Automotive Combustion and Fuel Engineering (incl Alternative/Renewable Fuels)970109 Expanding Knowledge in Engineering4004 Chemical engineering
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