Neural networks in automotive engine tuning

View at publisher
Authors: C.M. Vong, Y.P. Li, P.K. Wong
Cited by: 0

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.

Fields of Study & Subjects

Neural Networks and Applications Technical Engine Diagnostics and Monitoring Engine and Fuel Emissions

Publication details

Journal / source
CRC Press eBooks
Pages
547–552
Publication date
24 February 2026
Language
EN
Document type
Book chapter