Operator-informed machine learning: Extracting geometry and dynamics from time series data
- Weitere Titel
-
Operatorenbasiertes machinelles Lernen: Extraktion von Geometrie und Dynamik aus Zeitreihendaten
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
München, Technische Universität München, Dissertation, 2022
- Schlagwort
-
Time
Dynamics
Geometry
Machine learning
- Ereignis
-
Veröffentlichung
- (wo)
-
München
- (wer)
-
Universitätsbibliothek der TU München
- (wann)
-
2022
- Urheber
-
Lehmberg, Daniel
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:bvb:91-diss-20220411-1637386-1-3
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:46 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Lehmberg, Daniel
- Bungartz, Hans-Joachim
- Köster, Gerta
- Universitätsbibliothek der TU München
Entstanden
- 2022
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