Sustainable brain-inspired networks and deep-learning methods in structural mechanics
- Weitere Titel
-
Nachhaltige biologisch-inspirierte Netzwerke und tiefes Lernen in der Strukturmechanik
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Rheinisch-Westfälische Technische Hochschule Aachen, Dissertation, 2024
- Schlagwort
-
Neuronales Netz
Finite-Elemente-Methode
Nachhaltigkeit
Maschinelles Lernen
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2024
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2024-08806
- URN
-
urn:nbn:de:101:1-2410310101474.765135978662
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Tandale, Saurabh Balkrishna
- Stoffel, Marcus
- Kowalski, Julia
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2024
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