文献
J-GLOBAL ID:201702281332169596
整理番号:17A1728922
遺伝的アルゴリズムを用いたERD/ERS分類のためのEEG信号特徴の選択【Powered by NICT】
Selection of EEG signal features for ERD/ERS classification using genetic algorithms
著者 (7件):
Majkowski Andrzej
(Warsaw University of Technology, Institute of Theory of Electrical Engineering, Measurement and Information Systems, ul. Koszykowa 75, 00-662 Warszawa, Poland)
,
Kolodziej Marcin
(Warsaw University of Technology, Institute of Theory of Electrical Engineering, Measurement and Information Systems, ul. Koszykowa 75, 00-662 Warszawa, Poland)
,
Zapala Dariusz
(The John Paul II Catholic University of Lublin, Al. Racl/awickie 14, 20-950 Lublin, Poland)
,
Tarnowski Pawel
(Warsaw University of Technology, Institute of Theory of Electrical Engineering, Measurement and Information Systems, ul. Koszykowa 75, 00-662 Warszawa, Poland)
,
Francuz Piotr
(The John Paul II Catholic University of Lublin, Al. Racl/awickie 14, 20-950 Lublin, Poland)
,
Rak Remigiusz J.
(Warsaw University of Technology, Institute of Theory of Electrical Engineering, Measurement and Information Systems, ul. Koszykowa 75, 00-662 Warszawa, Poland)
,
Oskwarek Lukasz
(Warsaw University of Technology, Institute of Theory of Electrical Engineering, Measurement and Information Systems, ul. Koszykowa 75, 00-662 Warszawa, Poland)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
CPEE
ページ:
1-4
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)