Author:
MACHROWSKA Anna,KARPIŃSKI Robert,JONAK Józef,SZABELSKI Jakub
Abstract
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.
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Computer Science Applications,Economics, Econometrics and Finance (miscellaneous),Mechanical Engineering,Biomedical Engineering,Information Systems,Control and Systems Engineering
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