Development of a modular Knowledge-Discovery Framework based on Machine Learning

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,...

Täydet tiedot

Bibliografiset tiedot

Päätekijä:	Botticelli, Massimiliano
Aineistotyyppi:	Online
Kieli:	englanti
Julkaistu:	KIT Scientific Publishing 2023
Aiheet:	Gasoline Direct Injection; Data-Driven Development; Machine Learning Application; Datengetriebene Entwicklung; Anwendung des Maschinellen Lernens; Knowledge Discovery; Benzin-Direkteinspritzung thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
Linkit:	https://library.oapen.org/handle/20.500.12657/63852
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