From deep learning to transfer learning for the prediction of skeletal muscle forces.
Skeletal muscle forces may be estimated using rigid musculoskeletal models and neural networks. Neural network (NN) approach has the advantages of real-time estimation ability and promising prediction accuracy. However, most of the developed NN models are based on conventional feedforward NNs, which...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 5; pp. 1049 - 1059 |
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| Autor principal: | |
| Formato: | Journal Article |
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Springer Nature
May2019
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| Acceso en línea: | Ver este registro en EBSCOhost |