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Neural Networks in Automotive Engine Tuning
Vong Chi-man; Wong Pak-kin; Li Yi-ping
2003-11
Conference Namethe 9th International Conference EPMESC IX. Computational methods in engineering and science
Source Publicationproceedings of the 9th International Conference EPMESC IX
Conference DateNov. 2003
Conference PlaceMacau
Abstract

Automotive engine performance is significantly affected with effective tuning. Current engine tuning relies on the experience of the mechanics, and it is usually done by trial-and-error method. It may take days or even weeks, and may even fail to tune the engine optimally because a formal performance model of the engine has not been determined yet. With the aid of data mining methods, the engine tuning can be done automatically through the use of a computer. In addition, a nearly optimal engine setting can be obtained which dramatically increases the engine performance. An experiment has also been done to verify the usefulness of data mining methods in this application area.

Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Operations Research & Management Science ; Mathematics
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Multidisciplinary ; Operations Research & Management Science ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000189153200064
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Citation statistics
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationFaculty of Science and Technology, University of Macau
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Vong Chi-man,Wong Pak-kin,Li Yi-ping. Neural Networks in Automotive Engine Tuning[C],2003.
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