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.


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    Title :

    A Data Mining Approach to Support the Development of New Fuels and Technology


    Additional title:

    Sae Technical Papers



    Conference:

    2005 SAE Brasil Fuels & Lubricants Meeting ; 2005



    Publication date :

    2005-05-11




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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