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 |