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

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,...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Botticelli, Massimiliano (auth)
Formato: Electrónico Capítulo de libro
Lenguaje:inglés
Publicado: KIT Scientific Publishing 2023
Colección:Reihe Informationsmanagement im Engineering Karlsruhe 2
Materias:
Acceso en línea:OAPEN Library: download the publication
OAPEN Library: description of the publication
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

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

3rd Floor Main Library

Detalle de Existencias desde 3rd Floor Main Library
Número de Clasificación: A1234.567
Copia 1 Disponible