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,...

Celý popis

Podrobná bibliografie

Hlavní autor:	Botticelli, Massimiliano
Médium:	Online
Jazyk:	angličtina
Vydáno:	KIT Scientific Publishing 2023
Témata:	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
On-line přístup:	https://library.oapen.org/handle/20.500.12657/63852
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!