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%0 Journal Article
%A Schuh, Günther
%A Scholz, Paul
%A Portik, Johannes
%T Identification and Analysis of Patterns of Machine Learning Systems in the Connected, Adaptive Production
%J Journal of production systems and logistics
%V 2
%@ 2702-2587
%C Offenburg
%I publish-Ing.
%M RWTH-2022-00520
%P 1
%D 2022
%K Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau (Other)
%K Industry 4.0 (Other)
%K Machine learning (Other)
%K Production (Other)
%K algorithm selection (Other)
%K connected production (Other)
%K implementation strategy (Other)
%K learning systems (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%R 10.15488/11626
%U https://publications.rwth-aachen.de/record/838331