EMG pattern classification by split and merge deep belief network
© 2016 by the authors. In this paper; we introduce an enhanced electromyography (EMG) pattern recognition algorithm based on a split-and-merge deep belief network (SM-DBN). Generally, it is difficult to classify the EMG features because the EMG signal has nonlinear and time-varying characteristics....
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| Main Authors: | , , , , |
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| 格式: | 雜誌 |
| 出版: |
2017
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| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85003844960&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/42641 |
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| 機構: | Chiang Mai University |