Increasing the prediction quality of artificial neural network–based optimisation approaches for the sheet moulding compound compression moulding process by means of targeted expansion of training data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: 10.1007/s00170-024-14406-w
- Klassifikation
-
Industrielle und handwerkliche Fertigung
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2024
- Urheber
- DOI
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10.18154/RWTH-2024-09771
- URN
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urn:nbn:de:101:1-2502080149246.826669025746
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Hopmann, Christian
- Hadenfeldt, Marie
- Neuhaus, Jonas
- Foerges, Dominik
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2024
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Increasing the prediction quality of artificial neural network–based optimisation approaches for the sheet moulding compound compression moulding process by means of targeted expansion of training data
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Ultrasound Tomography for Spatially Resolved Melt Temperature Measurements in Injection Moulding Processes
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