Crossmark

Recursive quality optimization of a smart forming tool under the use of perception based hybrid datasets for training of a Deep Neural Network

Published Online: 2022-09-12

Authors

Feldmann, S.

Schmiedt, M.

Schlosser, J. M.

Rimkus, W.

Stempfle, T.

Rathmann, C.
Funding

Funding for this research was provided by:

Ministerium für Wirtschaft, Arbeit und Wohnungsbau Baden-Württemberg

Hochschule Aalen - Technik und Wirtschaft
License Information

Text and Data Mining valid from 2022-09-12

Version of Record valid from 2022-09-12
More Information

Article History

Received: 8 July 2022

Accepted: 17 August 2022

First Online: 12 September 2022

Declarations

:

: Not applicable (this article does not contain any studies with human participants or animals performed by any of the authors).

: The authors declare that they have no competing interests.

Document is current