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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| Format: | Elektroniczne Rozdział |
| Język: | angielski |
| Wydane: |
KIT Scientific Publishing
2023
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| Seria: | Reihe Informationsmanagement im Engineering Karlsruhe
2 |
| Hasła przedmiotowe: | |
| Dostęp online: | OAPEN Library: download the publication OAPEN Library: description of the publication |
| Etykiety: |
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OAPEN Library: download the publicationOAPEN Library: description of the publication
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| Sygnatura: |
A1234.567 |
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| Egzemplarz 1 | Dostępne |