Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups

Younis, Younis M.; Abbas, Salman H.; Najim, Farqad T.; Kamar, Firas Hashim; Nechifor, Gheorghe

Younis M. Younis, Salman H. Abbas, Farqad T. Najim, Firas Hashim Kamar, Gheorghe Nechifor

Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups

Abstract:

A comparison between artificial neural network (ANN) and multiple linear regression (MLR) models was employed to predict the heat of combustion, and the gross and net heat values, of a diesel fuel engine, based on the chemical composition of the diesel fuel. One hundred and fifty samples of Iraqi diesel provided data from chromatographic analysis. Eight parameters were applied as inputs in order to predict the gross and net heat combustion of the diesel fuel. A trial-and-error method was used to determine the shape of the individual ANN. The results showed that the prediction accuracy of the ANN model was greater than that of the MLR model in predicting the gross heat value. The best neural network for predicting the gross heating value was a back-propagation network (8-8-1), using the Levenberg-Marquardt algorithm for the second step of network training. R = 0.98502 for the test data. In the same way, the best neural network for predicting the net heating value was a back-propagation network (8-5-1), using the Levenberg-Marquardt algorithm for the second step of network training. R = 0.95112 for the test data.

Keywords:
Artificial neural network; Gross heat combustion; Net heat combustion; Multiple linear regression; Diesel fuel

Issue: 2020, Volume 71, Issue 6

Pages: 66-74

Publication date: 2020/7/1

https://doi.org/10.37358/RC.20.6.8171

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This article is published under the Creative Commons Attribution 4.0 International License

Citation Styles

Cite this article as:
YOUNIS, Y.M., ABBAS, S.H., NAJIM, F.T., KAMAR, F.H., NECHIFOR, G., Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups, Rev. Chim., 71(6), 2020, 66-74.

Vancouver
Younis YM, Abbas SH, Najim FT, Kamar FH, Nechifor G. Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups. Rev. Chim.[internet]. 2020 Jun;71(6):66-74. Available from: https://doi.org/10.37358/RC.20.6.8171

APA 6th edition
Younis, Y.M., Abbas, S.H., Najim, F.T., Kamar, F.H. & Nechifor, G. (2020). Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups. Revista de Chimie, 71(6), 66-74. https://doi.org/10.37358/RC.20.6.8171

Harvard
Younis, Y.M., Abbas, S.H., Najim, F.T., Kamar, F.H., Nechifor, G. (2020). 'Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups', Revista de Chimie, 71(6), pp. 66-74. https://doi.org/10.37358/RC.20.6.8171

IEEE
Y.M. Younis, S.H. Abbas, F.T. Najim, F.H. Kamar, G. Nechifor, "Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups". Revista de Chimie, vol. 71, no. 6, pp. 66-74, 2020. [online]. https://doi.org/10.37358/RC.20.6.8171

Text
Younis M. Younis, Salman H. Abbas, Farqad T. Najim, Firas Hashim Kamar, Gheorghe Nechifor,
Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups,
Revista de Chimie,
Volume 71, Issue 6,
2020,
Pages 66-74,
ISSN 2668-8212,
https://doi.org/10.37358/RC.20.6.8171.
(https://revistadechimie.ro/Articles.asp?ID=8171)
Keywords: Artificial neural network; Gross heat combustion; Net heat combustion; Multiple linear regression; Diesel fuel

RIS
TY - JOUR
T1 - Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups
A1 - Younis, Younis M.
A2 - Abbas, Salman H.
A3 - Najim, Farqad T.
A4 - Kamar, Firas Hashim
A5 - Nechifor, Gheorghe
JF - Revista de Chimie
JO - Rev. Chim.
PB - Revista de Chimie SRL
SN - 2668-8212
Y1 - 2020
VL - 71
IS - 6
SP - 66
EP - 74
UR - https://doi.org/10.37358/RC.20.6.8171
KW - Artificial neural network
KW - Gross heat combustion
KW - Net heat combustion
KW - Multiple linear regression
KW - Diesel fuel
ER -

BibTex
@article{RevCh2020P66,
author = {Younis Younis M. and Abbas Salman H. and Najim Farqad T. and Kamar Firas Hashim and Nechifor Gheorghe},
title = {Comparison of an Artificial Neural Network and a Multiple Linear Regression in Predicting the Heat of Combustion of Diesel Fuel Based on Hydrocarbon Groups},
journal = {Revista de Chimie},
volume = {71},
number = {6},
pages = {66-74},
year = {2020},
issn = {2668-8212},
doi = {https://doi.org/10.37358/RC.20.6.8171},
url = {https://revistadechimie.ro/Articles.asp?ID=8171}
}

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