Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) for Predicting the Kinematic Viscosity and Density of Biodiesel-Petroleum Diesel Blends
American Journal of Computer Science and Technology
Volume 1, Issue 1, March 2018, Pages: 8-18
Received: Nov. 1, 2017; Accepted: Nov. 13, 2017; Published: Dec. 24, 2017
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Authors
Youssef Kassem, Department of Mechanical Engineering, Faculty of Engineering, Near East University, Nicosia, Cyprus
Hüseyin Çamur, Department of Mechanical Engineering, Faculty of Engineering, Near East University, Nicosia, Cyprus
Kamal Elmokhtar Bennur, Department of Mechanical Engineering, Faculty of Engineering, Near East University, Nicosia, Cyprus
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Abstract
Biodiesel is considered as an alternative source of energy obtained from renewable materials. In the present paper, the investigation of the applicability of adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) approaches for modeling the biodiesel blends property including kinematic viscosity and density at various temperatures and the volume fractions of biodiesel. An experimental database of kinematic viscosity and density of biodiesel blends (biodiesel blend with diesel fuel) were used for developing of models, where the input variables in the network were the temperature and volume fractions of biodiesel. The model results were compared with experimental ones for determining the accuracy of the models. The developed models produced idealized results and were found to be useful for predicting the kinematic viscosity and density of biodiesel blends with a limited number of available data. Moreover, the results suggest that the ANFIS approach can be used successfully for predicting the kinematic viscosity and density of biodiesel blends at various volume fractions and temperature compared to another models.
Keywords
ANFIS, ANN, Biodiesel, Density, Kinematic Viscosity
To cite this article
Youssef Kassem, Hüseyin Çamur, Kamal Elmokhtar Bennur, Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) for Predicting the Kinematic Viscosity and Density of Biodiesel-Petroleum Diesel Blends, American Journal of Computer Science and Technology. Vol. 1, No. 1, 2018, pp. 8-18. doi: 10.11648/j.ajcst.20180101.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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