Artificial neural network based predictions of cetane number for furanic biofuel additives

Title
Artificial neural network based predictions of cetane number for furanic biofuel additives
Authors
Keywords
Neural networks, Machine learning, Biofuels, Cetane number, Prediction, Quantitative structure property relationship
Journal
FUEL
Volume 206, Issue -, Pages 171-179
Publisher
Elsevier BV
Online
2017-06-13
DOI
10.1016/j.fuel.2017.06.015

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