Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures
This study deals with usage of linear regression (LR) and artificial neural network (ANN) modeling to predict engine performance; torque and exhaust emissions; and carbon monoxide, oxides of nitrogen (CO, NOx) of a naturally aspirated diesel engine fueled with standard diesel, peanut biodiesel (PME)...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2016-12-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016816302228 |
| _version_ | 1818657606223265792 |
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| author | Erdi Tosun Kadir Aydin Mehmet Bilgili |
| author_facet | Erdi Tosun Kadir Aydin Mehmet Bilgili |
| author_sort | Erdi Tosun |
| collection | DOAJ |
| description | This study deals with usage of linear regression (LR) and artificial neural network (ANN) modeling to predict engine performance; torque and exhaust emissions; and carbon monoxide, oxides of nitrogen (CO, NOx) of a naturally aspirated diesel engine fueled with standard diesel, peanut biodiesel (PME) and biodiesel-alcohol (EME, MME, PME) mixtures. Experimental work was conducted to obtain data to train and test the models. Backpropagation algorithm was used as a learning algorithm of ANN in the multilayered feedforward networks. Engine speed (rpm) and fuel properties, cetane number (CN), lower heating value (LHV) and density (ρ) were used as input parameters in order to predict performance and emission parameters. It was shown that while linear regression modeling approach was deficient to predict desired parameters, more accurate results were obtained with the usage of ANN. |
| first_indexed | 2024-12-17T03:44:09Z |
| format | Article |
| id | doaj.art-51d35b2f74424d6caa3abe3ac540db9d |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-12-17T03:44:09Z |
| publishDate | 2016-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-51d35b2f74424d6caa3abe3ac540db9d2022-12-21T22:04:55ZengElsevierAlexandria Engineering Journal1110-01682016-12-015543081308910.1016/j.aej.2016.08.011Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixturesErdi Tosun0Kadir Aydin1Mehmet Bilgili2Department of Mechanical Engineering, Çukurova University, Adana, TurkeyDepartment of Automotive Engineering, Çukurova University, Adana, TurkeyDepartment of Automotive Engineering, Çukurova University, Adana, TurkeyThis study deals with usage of linear regression (LR) and artificial neural network (ANN) modeling to predict engine performance; torque and exhaust emissions; and carbon monoxide, oxides of nitrogen (CO, NOx) of a naturally aspirated diesel engine fueled with standard diesel, peanut biodiesel (PME) and biodiesel-alcohol (EME, MME, PME) mixtures. Experimental work was conducted to obtain data to train and test the models. Backpropagation algorithm was used as a learning algorithm of ANN in the multilayered feedforward networks. Engine speed (rpm) and fuel properties, cetane number (CN), lower heating value (LHV) and density (ρ) were used as input parameters in order to predict performance and emission parameters. It was shown that while linear regression modeling approach was deficient to predict desired parameters, more accurate results were obtained with the usage of ANN.http://www.sciencedirect.com/science/article/pii/S1110016816302228Diesel engineBiodieselAlcoholLinear regressionArtificial neural network |
| spellingShingle | Erdi Tosun Kadir Aydin Mehmet Bilgili Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures Alexandria Engineering Journal Diesel engine Biodiesel Alcohol Linear regression Artificial neural network |
| title | Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures |
| title_full | Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures |
| title_fullStr | Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures |
| title_full_unstemmed | Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures |
| title_short | Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures |
| title_sort | comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel alcohol mixtures |
| topic | Diesel engine Biodiesel Alcohol Linear regression Artificial neural network |
| url | http://www.sciencedirect.com/science/article/pii/S1110016816302228 |
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