Page
%P
![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
CupNet – Pruning a Network for Geometric Data
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.
-
Chapter and Conference Paper
The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge
We address a non-unique parameter fitting problem in the context of material science