Monografie
Local latin hypercube refinement for uncertainty quantification and optimization : accelerating the surrogate-based solutions using adaptive sampling
- Sprache
-
Englisch
- Identifier
-
1268193348
Thema
Unsicherheit; Technisches System; Versuchsplanung; Zuverlässigkeit; Robustheit; Ungewissheit; Optimierung; Maschinelles Lernen
Beteiligte Personen und Organisationen
Boğoçlu, Can
Nestorović, Tamara
Gottschalk, Hanno
Roos, Dirk
Fakultät für Maschinenbau
Nestorović, Tamara
Gottschalk, Hanno
Roos, Dirk
Fakultät für Maschinenbau
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
27.10.2022, 11:05 MESZ
Objekttyp
- Monografie
Beteiligte
- Boğoçlu, Can
- Nestorović, Tamara
- Gottschalk, Hanno
- Roos, Dirk
- Fakultät für Maschinenbau
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