要旨
发表于 2025-3-21 19:21:44
书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0300430<br><br> <br><br>书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0300430<br><br> <br><br>书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0300430<br><br> <br><br>书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0300430<br><br> <br><br>书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0300430<br><br> <br><br>书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0300430<br><br> <br><br>书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0300430<br><br> <br><br>书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0300430<br><br> <br><br>书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0300430<br><br> <br><br>书目名称EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0300430<br><br> <br><br>
obstinate
发表于 2025-3-21 23:12:26
EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
insecticide
发表于 2025-3-22 03:04:28
Book 2015s a systematic method for detection of the level of muscle power declining in musculoskeletal and Neuro-muscular disorders. The neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and modeling purposes. The neuro-fuzzy
Negotiate
发表于 2025-3-22 05:50:00
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货物
发表于 2025-3-22 11:49:01
Book 2015classifier is validated in comparison to some other well-known classifiers in classification of the recorded EMG signals with the three states of contractions corresponding to the extracted features. Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used.
令人不快
发表于 2025-3-22 16:10:53
2191-530X d EMG signals with the three states of contractions corresponding to the extracted features. Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used.978-981-287-319-4978-981-287-320-0Series ISSN 2191-530X Series E-ISSN 2191-5318
令人不快
发表于 2025-3-22 19:34:34
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Strength
发表于 2025-3-23 00:56:30
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恸哭
发表于 2025-3-23 04:37:30
Bita Mokhlesabadifarahani,Vinit Kumar GunjanIncludes supplementary material:
hereditary
发表于 2025-3-23 06:14:06
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/e/image/300430.jpg