Open Access
Issue |
MATEC Web Conf.
Volume 190, 2018
5th International Conference on New Forming Technology (ICNFT 2018)
|
|
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Article Number | 15007 | |
Number of page(s) | 7 | |
Section | Micro cold forming, Special session SFB 747 | |
DOI | https://doi.org/10.1051/matecconf/201819015007 | |
Published online | 18 September 2018 |
- F. Vollertsen, Product Engineering, 2, 2008, 4, S.377-383 [Google Scholar]
- A. K. Louis, Inverse und Schlecht Gestellte Probleme, Teubner Studienbücher, 2012 [Google Scholar]
- A. Rieder, Keine Probleme mit Inversen Problemen – Eine Einführung in ihre stabile Lösungen, Vieweg, 2003 [CrossRef] [Google Scholar]
- J. Bangti and P. Maaß, Inverse Problems 28, 2012, 123001 [CrossRef] [Google Scholar]
- D. Rippel, M. Lütjen and B. Scholz-Reiter, Journal of Manufacturing Technology Management 25, 2014 [Google Scholar]
- B. Denkena and H.K. Tönshoff, Prozessauslegung und –integration in die Prozesskette, in : B. Denkena and H.K. Tönshoff (Eds.), Spanen – Grundlagen, Springer Verlag, Berlin Heidelberg, 2011, pp. 339-362 [Google Scholar]
- D. Rippel, M. Lütjen and B. Scholz-Reiter, Journal of Manufacturing Technology Management, 25, 2014 [Google Scholar]
- D. Rippel, M. Lütjen and M. Freoitag, Journal of Manufacturing Systems, 43, 2017, pp. 79-87 [CrossRef] [Google Scholar]
- M. Grasmair, M. Haltmeier and O. Scherzer, Inverse Problems 24, 2008, 055020 [CrossRef] [Google Scholar]
- J. Fox, Nonparametric Regression in R : An Appendix to An R Companion to Applied Regression, 2010, 2nd Edition [Google Scholar]
- T. Hastie, The Elements of Statistical Learning – Data Mining, Inference, and Prediction, 2016, Springer Series in Statistics, p. 194-207 [Google Scholar]
- J. Adler, O. Öktem, Solving ill-posed inverse problems using iterative deep neural networks, arXiv:1704.04058v2, 2017. [Google Scholar]
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