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

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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

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

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,

exponential model,

rational model,

renewable energy,

Related subjects:

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.

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