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Improving the Fitness of High-Dimensional Biomechanical Models via Data-Driven Stochastic Exploration
The field of complex biomechanical modeling has begun to rely on Monte Carlo techniques to investigate the effects of parameter variability and measurement uncertainty on model outputs, search for optimal parameter combinations, and define model limitations. However, advanced stochastic methods to p...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2008
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2841988/ https://ncbi.nlm.nih.gov/pubmed/19272906 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2008.2006033 |
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