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REVISTA DE CHIMIE
https://doi.org/10.37358/Rev.Chim.1949

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Revista de Chimie, Volume 70, Issue 7, pp. 2367-2370 (2019)
https://doi.org/10.37358/RC.19.7.7341

Stefan Sandru, Ion Onutu

Estimating Ternary Blends Properties using ANNs Trained with Binary Blends

Abstract:

The present study aimed to estimate the physical properties of the diesel-diesel-biodiesel ternary blends, using artificial neural networks, also known as ANNs. The input data used to estimate the properties was the percentage in which each component was used to obtain the blend. Using two hydrofined diesel fuels from a local refinery and three biodiesel samples synthesized in the university laboratory, a total of 114 blends, both binary and ternary, were obtained. The ANN training database was comprised of exclusively 96 binary blends, from the total of 114. The predictions were made on the remaining 18 ternary blends. All the predictions were within the error mentioned in the standard, concluding the fact that the created ANNs had a rate of 100% accuracy.
Keywords:
diesel-biodiesel blends; artificial neural network estimation

Issue: 2019 Volume 70, Number 7
Pages: 2367-2370
https://doi.org/10.37358/RC.19.7.7341
download pdf   Download Pdf Article
Citation Styles
Cite this article as:
SANDRU, S., ONUTU, I., Rev.Chim., 70, no. 7, 2019, p. 2367

Vancouver
Sandru S, Onutu I. Estimating Ternary Blends Properties using ANNs Trained with Binary Blends. REV.CHIM.[internet]. 2019 Jul;70(7):2367-2370. Available from: https://doi.org/10.37358/RC.19.7.7341


APA 6th edition
Sandru, S., Onutu, I. (2019). Estimating Ternary Blends Properties using ANNs Trained with Binary Blends. Revista de Chimie, 70(7), 2367-2370. https://doi.org/10.37358/RC.19.7.7341


Harvard
Sandru, S., Onutu, I. (2019). 'Estimating Ternary Blends Properties using ANNs Trained with Binary Blends', Revista de Chimie, 70(7), pp. 2367-2370. https://doi.org/10.37358/RC.19.7.7341


IEEE
S. Sandru, I. Onutu, "Estimating Ternary Blends Properties using ANNs Trained with Binary Blends". Revista de Chimie, vol. 70, no. 7, pp. 2367-2370, 2019. [online]. https://doi.org/10.37358/RC.19.7.7341


Text
Stefan Sandru, Ion Onutu,
Estimating Ternary Blends Properties using ANNs Trained with Binary Blends,
Revista de Chimie,
Volume 70, Issue 7,
2019,
Pages 2367-2370,
ISSN 2668-8212,
https://doi.org/10.37358/RC.19.7.7341.
(https://revistadechimie.ro/Articles.asp?ID=7341)
Keywords: diesel-biodiesel blends; artificial neural network estimation


RIS
TY - JOUR
T1 - Estimating Ternary Blends Properties using ANNs Trained with Binary Blends
A1 - Sandru, Stefan
A2 - Onutu, Ion
JF - Revista de Chimie
JO - Rev.Chim.
PB - Revista de Chimie SRL
SN - 2668-8212
Y1 - 2019
VL - 70
IS - 7
SP - 2367
EP - 2370
UR - https://doi.org/10.37358/RC.19.7.7341
KW - diesel-biodiesel blends
KW - artificial neural network estimation
ER -


BibTex
@article{RevCh2019P2367,
author = {Sandru Stefan and Onutu Ion},
title = {Estimating Ternary Blends Properties using ANNs Trained with Binary Blends},
journal = {Revista de Chimie},
volume = {70},
number = {7},
pages = {2367-2370},
year = {2019},
issn = {2668-8212},
doi = {https://doi.org/10.37358/RC.19.7.7341},
url = {https://revistadechimie.ro/Articles.asp?ID=7341}
}
 
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