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Objectifying Machine Setup and Parameter Selection in Expert Knowledge Dependent Industries Using Invertible Neural Networks
Müller, Kai Bruno (Corresponding author)RWTH* ; Posada Moreno, Andres FelipeRWTH* ; Pelzer, LukasRWTH* ; Gries, ThomasRWTH*
In
Flexible automation and intelligent manufacturing: the human-data-technology nexus : proceedings of FAIM 2022, June 19–23, 2022, Detroit, Michigan, USA / Kyoung-Yun Kim, Leslie Monplaisir, Jeremy Rickli editors. - Volume 1, Seiten/Artikel-Nr: 293-300
2023 & 2022
Konferenz/Event:31. International Conference on Flexible Automation and Intelligent Manufacturing
, Detroit , USA , FAIM 2022 , 2022-06-19 - 2022-06-23
ImpressumCham, Switzerland : Springer
Umfang293-300
ISBN978-3-031-18325-6, 978-3-031-18326-3, 978-3-031-18327-0
ReiheLecture Notes in Mechanical Engineering
First Online: 13 October 2022
Online
DOI: 10.18154/RWTH-2022-10113
DOI: 10.1007/978-3-031-18326-3_29
10.1007/978-3-031-18326-3_29
URL: https://publications.rwth-aachen.de/record/855252/files/855252.pdf
Projekte
- WS-B3.II - Short-term Production Management (X080067-WS-B3.II) (X080067-WS-B3.II)
- WS-A.III - Functional Perspective (X080067-WS-A.III) (X080067-WS-A.III)
- DFG project 390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)
OpenAccess:
PDF
Dokumenttyp
Contribution to a book/Contribution to a conference proceedings
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85141859768
Interne Identnummern
RWTH-2022-10113
Datensatz-ID: 855252
Beteiligte Länder
Germany
