NUMERICAL PREDICTION OF THE COMPONENT-RATIO-DEPENDENT COMPRESSIVE STRENGTH OF BONE CEMENT

Autor:	Anna MACHROWSKA, Robert KARPIŃSKI, Józef JONAK, Jakub SZABELSKI, Przemysław KRAKOWSKI
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	artificial neural networks mathematical modelling biomaterials bone cement Information technology T58.5-58.64 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Applied Computer Science, Vol 16, Iss 3, Pp 87-101 (2020)
Druh dokumentu:	article
ISSN:	1895-3735 2353-6977
DOI:	10.23743/acs-2020-24
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/c135a29ab27b4beaa06a361a6ff345b7 Zobrazit plný text záznamu View record in DOAJ