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A Data Mining Approach to Support the Development of New Fuels and Technology
Technical Paper
2005-01-2184
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
Authors
- Guilherme S. Terra - COPPE - Federal University of Rio de Janeiro
- Alexandre G. Evsukoff - COPPE - Federal University of Rio de Janeiro
- Nelson F. F. Ebecken - COPPE - Federal University of Rio de Janeiro
- Ricardo A. B. Sá - PETROBRAS - Research and Development Center
- Raissa M. C. F. Silva - PETROBRAS - Research and Development Center
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.Also In
References
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