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| Artikel-Nr.: 5667A-9783731512950 Herst.-Nr.: 9783731512950 EAN/GTIN: 9783731512950 |
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| In this work, a novel knowledge discovery framework able to analyze data produced in the Gasoline Direct Injection (GDI) context through machine learning is presented and validated. This approach is able to explore and exploit the investigated design spaces based on a limited number of observations, discovering and visualizing connections and correlations in complex phenomena. The extracted knowledge is then validated with domain expertise, revealing potential and limitations of this method. Weitere Informationen: | | Author: | Massimiliano Botticelli | Verlag: | KIT Scientific Publishing | Sprache: | eng |
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| Weitere Suchbegriffe: chemische technik, Knowledge Discovery, Anwendung des Maschinellen Lernens, Datengetriebene Entwicklung, Benzin-Direkteinspritzung, Machine Learning Application, Data-Driven Development, Gasoline Direct Injection |
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