In the present work, data mining techniques are used to model the non-trivial relationships between dependent variables (mass exhaust emission) and independent variables (engines' technologies and fuel properties). Models based on experiments to predict pollutant emissions from gasoline properties and engine technologies can improve the design process.
A Data Mining Approach to Support the Development of New Fuels and Technology
Sae Technical Papers
2005 SAE Brasil Fuels & Lubricants Meeting ; 2005
2005-05-11
Conference paper
English
A data mining approach to support the development of new fuels and technology
Automotive engineering | 2005
|Emerald Group Publishing | 1999
Data-Mining Tools for the Support of Signal-Timing Plan Development
Online Contents | 2001
|Data-Mining Tools for the Support of Signal-Timing Plan Development
British Library Conference Proceedings | 2001
|Advanced alternative fuels technology
TIBKAT | 1993
|