Identification of dynamic loads on structural component with artificial neural networks
O. Altun, D. Zhang, R. Siqueira, P. Wolniak, I. Mozgova, R. Lachmayer, Procedia Manufacturing 52 (2020) 181–186.
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Journal Article
| Published
| English
Author
Altun, OsmanLibreCat;
Zhang, Danyang;
Siqueira, Renan;
Wolniak, Philipp;
Mozgova, IrynaLibreCat;
Lachmayer, Roland
Publishing Year
Journal Title
Procedia Manufacturing
Volume
52
Page
181-186
ISSN
LibreCat-ID
Cite this
Altun O, Zhang D, Siqueira R, Wolniak P, Mozgova I, Lachmayer R. Identification of dynamic loads on structural component with artificial neural networks. Procedia Manufacturing. 2020;52:181-186. doi:10.1016/j.promfg.2020.11.032
Altun, O., Zhang, D., Siqueira, R., Wolniak, P., Mozgova, I., & Lachmayer, R. (2020). Identification of dynamic loads on structural component with artificial neural networks. Procedia Manufacturing, 52, 181–186. https://doi.org/10.1016/j.promfg.2020.11.032
@article{Altun_Zhang_Siqueira_Wolniak_Mozgova_Lachmayer_2020, title={Identification of dynamic loads on structural component with artificial neural networks}, volume={52}, DOI={10.1016/j.promfg.2020.11.032}, journal={Procedia Manufacturing}, publisher={Elsevier BV}, author={Altun, Osman and Zhang, Danyang and Siqueira, Renan and Wolniak, Philipp and Mozgova, Iryna and Lachmayer, Roland}, year={2020}, pages={181–186} }
Altun, Osman, Danyang Zhang, Renan Siqueira, Philipp Wolniak, Iryna Mozgova, and Roland Lachmayer. “Identification of Dynamic Loads on Structural Component with Artificial Neural Networks.” Procedia Manufacturing 52 (2020): 181–86. https://doi.org/10.1016/j.promfg.2020.11.032.
O. Altun, D. Zhang, R. Siqueira, P. Wolniak, I. Mozgova, and R. Lachmayer, “Identification of dynamic loads on structural component with artificial neural networks,” Procedia Manufacturing, vol. 52, pp. 181–186, 2020, doi: 10.1016/j.promfg.2020.11.032.
Altun, Osman, et al. “Identification of Dynamic Loads on Structural Component with Artificial Neural Networks.” Procedia Manufacturing, vol. 52, Elsevier BV, 2020, pp. 181–86, doi:10.1016/j.promfg.2020.11.032.
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