Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm

A brain-computer interface (BCI) system is one of the most effective ways that translates brain signals into output commands. Different imagery activities can be classified based on the changes in μ and β rhythms and their spatial distributions. Multi-layer perceptron neural networks (MLP-NNs) are c...

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Vydáno v:	Machine intelligence research (Print) Ročník 17; číslo 1; s. 108 - 122
Hlavní autoři:	Afrakhteh, Sajjad, Mosavi, Mohammad-Reza, Khishe, Mohammad, Ayatollahi, Ahmad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Beijing Springer Nature B.V 01.02.2020
Témata:	Algorithms Classification Convergence Electroencephalography Heuristic methods Human-computer interface Multilayer perceptrons Multilayers Neural networks Particle swarm optimization Recursive methods Search algorithms Signal classification Spatial distribution Training
ISSN:	2153-182X, 2153-1838
On-line přístup:	Získat plný text
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