- Tytuł:
- Numerical prediction of component-ratio-dependent compressive strength of bone cement
- Autorzy:
-
Machrowska, Anna
Karpiński, Robert
Jonak, Józef
Szabelski, Jakub
Krakowski, Przemysław - Powiązania:
- https://bibliotekanauki.pl/articles/117777.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polskie Towarzystwo Promocji Wiedzy
- Tematy:
-
artificial neural networks
mathematical modelling
biomaterials
bone cement
sztuczne sieci neuronowe
modelowanie matematyczne
biomateriały
cement kostny - Opis:
- Changes in the compression strength of the PMMA bone cement with a variable powder/liquid component mix ratio were investigated. The strength test data served to develop basic mathematical models and an artificial neural network was employed for strength predictions. The empirical and numerical results were compared to determine modelling errors and assess the effectiveness of the proposed methods and models. The advantages and disadvantages of mathematical modelling are discussed.
- Źródło:
-
Applied Computer Science; 2020, 16, 3; 87-101
1895-3735 - Pojawia się w:
- Applied Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł