Publikationen

Konferenz (reviewed)

Lukas, M.; Leineweber, S.; Reitz, B.; Overmeyer, L.; Aschemann, A.; Klie, B.; Giese, U. (2023): Data Mining-Enabled Temperature Control for Sustainable Production in Rubber Extrusion Lines: An Artificial Neural Network-Based Approach, WGP 2023: Production at the Leading Edge of Technology pp 539–549
DOI: 10.1007/978-3-031-47394-4_52
Lukas, M.; Leineweber, S.; Reitz, B.; Overmeyer, L.; Aschemann, A.; Klie, B.; Giese, U. (2023): Minimizing Temperature Deviations in Rubber Extrusion Lines using Artificial Neural Network based Process Control, Presented at the 204th Technical Meeting Rubber Division, ACS International Elastomer Conference in Cleveland, Ohio

Lukas, M.; Leineweber, S.; Overmeyer L. (2023): Künstliche Intelligenz und Data-Mining in der Kautschukextrusion, phi – Produktionstechnik Hannover informiert, Newsletter Nr. 39
DOI: 10.48811/phi-23-006