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Analyzing Uncertainty of an Ankle Joint Model with Genetic Algorithm
Recent studies in biomechanical modeling suggest a paradigm shift, in which the parameters of biomechanical models would no longer treated as fixed values but as random variables with, often unknown, distributions. In turn, novel and efficient numerical methods will be required to handle such compli...
Autor principal: | Ciszkiewicz, Adam |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085034/ https://www.ncbi.nlm.nih.gov/pubmed/32155712 http://dx.doi.org/10.3390/ma13051175 |
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