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More Machine Learning for Less : Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing

Samsonov, Vladimir (Corresponding author)^RWTH* ; Lipp, Johannes (Corresponding author)^RWTH* ; Noodt, Philipp (Corresponding author)^RWTH* ; Fenollar Solvay, Alexia (Corresponding author)^RWTH* ; Meisen, Tobias (Corresponding author)^RWTH*

In
2019 IEEE Symposium Series on Computational Intelligence : December 6-9, 2019, Xiamen, China / IEEE-SSCI 2019 ; sponsored by IEEE, IEEE Computational Intelligence Society ; organized by Xiamen University, Xi'an University of Posts & Telecommunications, Fujian Association of Artificial Intelligence, Seiten/Artikel-Nr: 799-807

2019

Konferenz/Event:2019 IEEE Symposium Series on Computational Intelligence , Xiamen , Peoples R China , SSCI , 2019-12-06 - 2019-12-09

ImpressumPiscataway, NJ : IEEE

Umfang799-807

ISBN978-1-7281-2485-8, 978-1-7281-2486-5

Online
DOI: 10.1109/SSCI44817.2019.9002663
10.1109/SSCI44817.2019.9002663

Einrichtungen

1. Lehrstuhl für Informationsmanagement im Maschinenbau (416910)
2. Juniorprofessur für Interoperabilität von Simulationen im Maschinenbau (420830)
3. Internet of Production (080067)

Projekte

1. DFG project 390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85080863876
WOS Core Collection: WOS:000555467200113

Interne Identnummern
RWTH-2020-05455
Datensatz-ID: 789814

Beteiligte Länder
Germany