Cite

Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing.

MLA

Rojek, Izabela, et al. “Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing.” Materials (1996-1944), vol. 14, no. 24, Dec. 2021, p. 7625. EBSCOhost, https://doi.org/10.3390/ma14247625.



APA

Rojek, I., Mikołajewski, D., Kotlarz, P., Tyburek, K., Kopowski, J., & Dostatni, E. (2021). Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing. Materials (1996-1944), 14(24), 7625. https://doi.org/10.3390/ma14247625



Chicago

Rojek, Izabela, Dariusz Mikołajewski, Piotr Kotlarz, Krzysztof Tyburek, Jakub Kopowski, and Ewa Dostatni. 2021. “Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing.” Materials (1996-1944) 14 (24): 7625. doi:10.3390/ma14247625.