EMG pattern classification by split and merge deep belief network

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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書目詳細資料
Main Authors:	Hyeon Min Shim, Hongsub An, Sanghyuk Lee, Eung Hyuk Lee, Hong Ki Min, Sangmin Lee
格式:	雜誌
出版:	2018
主題:	Chemistry Computer Science Mathematics Physics and Astronomy
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85003844960&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55487
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Chiang Mai University

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