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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Váldodahkkit:	Jingwei Too, Abdul Rahim Abdullah, Norhashimah Mohd Saad, Nursabillilah Mohd Ali, Weihown Tee
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2018-11-01
Ráidu:	Computers
Fáttát:	feature selection electromyography grey wolf optimizer binary grey wolf optimization classification time-frequency feature
Liŋkkat:	https://www.mdpi.com/2073-431X/7/4/58
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