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,...
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| Autor principal: | |
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| Formato: | Electrónico Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
KIT Scientific Publishing
2023
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| Colección: | Reihe Informationsmanagement im Engineering Karlsruhe
2 |
| Materias: | |
| Acceso en línea: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| Número de Clasificación: |
A1234.567 |
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| Copia 1 | Disponible |