Imatge de la portada

Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes

Veure altres versions (1)

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,...

Descripció completa

Guardat en:
Dades bibliogràfiques
Autor principal: Botticelli, Massimiliano (auth)
Format: Electrònic Capítol de llibre
Idioma:anglès
Publicat: KIT Scientific Publishing 2023
Col·lecció:Reihe Informationsmanagement im Engineering Karlsruhe 2
Matèries:
Mechanical engineering & materials
Gasoline Direct Injection; Data-Driven Development; Machine Learning Application; Datengetriebene Entwicklung; Anwendung des Maschinellen Lernens; Knowledge Discovery; Benzin-Direkteinspritzung
Accés en línia:OAPEN Library: download the publication
OAPEN Library: description of the publication
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Internet

OAPEN Library: download the publication
OAPEN Library: description of the publication

3rd Floor Main Library

Detall dels fons de 3rd Floor Main Library
Signatura: A1234.567
Còpia 1 Disponible

Ítems similars