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  4. CupNet - Pruning a network for geometric data
 
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2020
Presentation
Title

CupNet - Pruning a network for geometric data

Title Supplement
Published on arXiv
Abstract
Using data from a simulated cup drawing process, we demonstrate how the inherent geometrical structure of cup meshes can be used to effectively prune an artificial neural network in a straightforward way.
Author(s)
Heese, Raoul  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Morand, Lukas  
Fraunhofer-Institut für Werkstoffmechanik IWM  
Helm, Dirk  
Fraunhofer-Institut für Werkstoffmechanik IWM  
Bortz, Michael  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Conference
International Conference on Artificial Neural Networks (ICANN) 2021  
Link
Link
Language
German
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Fraunhofer-Institut für Werkstoffmechanik IWM  
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