Sanjon, C. W., Leng, Y., Hauptmann, M., Majschak, J.-P., & Groche, P. [ca. 2024]. Material parameters identification of thin fiber-based materials using the method of machine learning exploiting numerically generated simulation data [Electronic]. Numerical methods in industrial forming processes, ((2024), Seite 209-223), , Seite 209-223. https://doi.org/10.1007/978-3-031-58006-2_16

SANJON, Cedric Wilfried, LENG, Yuchen, HAUPTMANN, Marek, MAJSCHAK, Jens-Peter und GROCHE, Peter, 2024. Material parameters identification of thin fiber-based materials using the method of machine learning exploiting numerically generated simulation data. Numerical methods in industrial forming processes. 2024. No. (2024), Seite 209-223, p. , Seite 209-223. DOI 10.1007/978-3-031-58006-2_16.

Sanjon, C. W., Y. Leng, M. Hauptmann, J.-P. Majschak, und P. Groche. „Material parameters identification of thin fiber-based materials using the method of machine learning exploiting numerically generated simulation data“. Numerical methods in industrial forming processes, electronic, Nr. (2024), Seite 209-223, Springer International Publishing Cham : Springer International Publishing, 2024, 2024, S. , Seite 209-223, https://doi.org/10.1007/978-3-031-58006-2_16.

Sanjon, Cedric Wilfried/Leng, Yuchen/Hauptmann, Marek/Majschak, Jens-Peter/Groche, Peter: Material parameters identification of thin fiber-based materials using the method of machine learning exploiting numerically generated simulation data, Numerical methods in industrial forming processes 2024, , Seite 209-223.

Sanjon, C.W., Leng, Y., Hauptmann, M., Majschak, J.-P. und Groche, P. (2024), „Material parameters identification of thin fiber-based materials using the method of machine learning exploiting numerically generated simulation data“, Numerical methods in industrial forming processes, Springer International Publishing Cham : Springer International Publishing, 2024, Cham, No. (2024), Seite 209-223, S. , Seite 209-223.