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InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling
InverseMuscleNET, a machine learning model, is proposed as an alternative to static optimization for resolving the redundancy issue in inverse muscle models. A recurrent neural network (RNN) was optimally configured, trained, and tested to estimate the pattern of muscle activation signals. Five biom...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8735851/ https://www.ncbi.nlm.nih.gov/pubmed/35002663 http://dx.doi.org/10.3389/fncom.2021.759489 |