• Media type: E-Book
  • Title: Prediction of Disassembly Parameters for Process Planning Based on Machine Learning
  • Contributor: Blümel, Richard [Author]; Raatz, Annika [Author]
  • Published: Hannover: Gottfried Wilhelm Leibniz Universität Hannover, 2023
    Hannover: Technische Informationsbibliothek (TIB), 2023
  • Extent: 1 Online-Ressource
  • Language: English
  • DOI: 10.15488/13412
  • Identifier:
  • Origination:
  • Footnote: In: Blümel, R.; Zander, N.; Blankemeyer, S.; Raatz, A.: Prediction of Disassembly Parameters for Process Planning Based on Machine Learning. In: Liewald, M.; Verl, A.; Bauernhansl, T.; Möhring, H.-C. (Eds.): Production at the Leading Edge of Technology : Proceedings of the 12th Congress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022. Cham : Springer, 2023 (Lecture Notes in Production Engineering), S. 613-622. DOI: https://doi.org/10.1007/978-3-031-18318-8_61
  • Access State: Open Access