Feature Selection and Classification of EEG Finger Movement Based on Genetic Algorithm
Özet
Electroencephalography (EEG) classification for mental tasks is the crucial part of the braincomputer interface. Many studies try to extract discriminative features from EEG signals. In this study, feature selection algorithm based on genetic algorithm (G
Bağlantı
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059972164&doi=10.1109%2fASYU.2018.8554029&partnerID=40&md5=67fb6bb7c2246b1c6baf488940c1dcefhttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/9924
Koleksiyonlar
DSpace@YASAR by Yasar University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..