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Evaluation of Predictive Capabilities of Regression Models and Artificial Neural Networks for Density and Viscosity Measurements of Different Biodiesel-Diesel-Vegetable Oil Ternary Blends Cover

Evaluation of Predictive Capabilities of Regression Models and Artificial Neural Networks for Density and Viscosity Measurements of Different Biodiesel-Diesel-Vegetable Oil Ternary Blends

Environmental and Climate Technologies
Volume 22 (2018): Issue 1 (February 2018)
By: Mert Gulum,  Funda Kutlu Onay and  Atilla Bilgin  
Open Access
|Dec 2018
Authors

Authors

Mert Gulum

gulum@ktu.edu.tr

Mechanical Engineering Department, Karadeniz Technical University,, Trabzon, Turkey

Funda Kutlu Onay

Computer Engineering Department, Amasya University,, Amasya, Turkey

Atilla Bilgin

Mechanical Engineering Department, Karadeniz Technical University,, Trabzon, Turkey
DOI: https://doi.org/10.2478/rtuect-2018-0012 | Journal eISSN: 2255-8837 | Journal ISSN: 1691-5208
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Language: English
Page range: 179 - 205
Published on: Dec 31, 2018
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Artificial neural networks,
biodiesel,
density,
ethyl ester,
exponential model,
prediction,
rational model,
renewable energy,
viscosity
Related subjects:
Life sciences,
Life sciences, other

© 2018 Mert Gulum, Funda Kutlu Onay, Atilla Bilgin, published by Riga Technical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 22 (2018): Issue 1 (February 2018)
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