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A Data Mining Approach to Support the Development of New Fuels and Technology COPPE - Federal University of Rio de Janeiro

SAE Technical Papers (1906-current) Available online

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Format:
Conference/Event
Author/Creator:
Terra, Guilherme S., author.
Conference Name:
2005 SAE Brasil Fuels & Lubricants Meeting (2005-05-11 : Rio De Janiero, Brazil)
Language:
English
Physical Description:
1 online resource
Place of Publication:
Warrendale, PA SAE International 2005
Summary:
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
Notes:
Vendor supplied data
Publisher Number:
2005-01-2184
Access Restriction:
Restricted for use by site license

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