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

3D printing of assistive devices requires optimization of material selection, raw materials formulas, and complex printing processes that have to balance a high number of variable but highly correlated variables. The performance of patient-specific 3D printed solutions is still limited by both the i...

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Detalles Bibliográficos
Autores principales: Rojek, Izabela, Mikołajewski, Dariusz, Kotlarz, Piotr, Tyburek, Krzysztof, Kopowski, Jakub, Dostatni, Ewa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707385/
https://www.ncbi.nlm.nih.gov/pubmed/34947222
http://dx.doi.org/10.3390/ma14247625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707385/
https://www.ncbi.nlm.nih.gov/pubmed/34947222
http://dx.doi.org/10.3390/ma14247625

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