A Data Mining Approach to Support the Development of New Fuels and Technology 2005-01-2184
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.
Citation: Terra, G., Evsukoff, A., Ebecken, N., Sá, R. et al., "A Data Mining Approach to Support the Development of New Fuels and Technology," SAE Technical Paper 2005-01-2184, 2005, https://doi.org/10.4271/2005-01-2184. Download Citation
Author(s):
Guilherme S. Terra, Alexandre G. Evsukoff, Nelson F. F. Ebecken, Ricardo A. B. Sá, Raissa M. C. F. Silva
Affiliated:
COPPE - Federal University of Rio de Janeiro, PETROBRAS - Research and Development Center
Pages: 5
Event:
2005 SAE Brasil Fuels & Lubricants Meeting
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Exhaust emissions
Design processes
Gasoline
Emissions
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