A New Competitive Binary Grey Wolf Optimizer To Solve The Feature Selection Problem In EMG Signals Classification
Features extracted from the electromyography (EMG) signal normally consist of irrelevant and redundant features. Conventionally, feature selection is an effective way to evaluate the most informative features, which contributes to performance enhancement and feature reduction. Therefore, this articl...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/23003/2/A%20New%20Competitive%20Binary%20GreyWolf%20Optimizer.pdf http://eprints.utem.edu.my/id/eprint/23003/ https://www.mdpi.com/2073-431X/7/4/58/htm |
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