Computational evaluation of different numerical tools for the prediction of proximal femur loads from bone morphology

DOI10.1016/j.cma.2013.10.005zbMath1295.74069OpenAlexW2077609524WikidataQ62701542 ScholiaQ62701542MaRDI QIDQ741933

D. Kharzeev

Publication date: 16 September 2014

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2013.10.005

zbMATH Keywords

linear regressionsupport vector machineartificial neuronal networkbone densityinverse bone remodeling problemloading conditions

Mathematics Subject Classification ID

Finite element methods applied to problems in solid mechanics (74S05) Biomechanical solid mechanics (74L15)

Related Items

Learned Gaussian quadrature for enriched solid finite elements ⋮ Computational mechanics enhanced by deep learning

Uses Software

• LIBSVM

Cites Work

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• Artificial neural network based hole image interpretation techniques for integrated topology and shape optimization