IEEE - Institute of Electrical and Electronics Engineers, Inc. - Feature classification of EEG signal with binary heuristic optimization algorithms

2013 13th International Conference on Control, Automaton and Systems (ICCAS 2013)

Author(s): Tae-Ju Lee ; Seung-Min Park ; Kwang-Eun Ko ; Kwee-Bo Sim
Sponsor(s): IEEE Ind. Electron. Soc.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2013
Conference Location: Gwangju, South Korea
Conference Date: 20 October 2013
Page(s): 237 - 240
ISBN (CD): 978-89-93215-05-2
ISSN (Paper): 2093-7121
DOI: 10.1109/ICCAS.2013.6703900
Regular:

In previous paper, we proposed the novel method of nonlinear unsupervised feature classification for EEG (Electroencephalography) signal based on HS (Harmony Search) algorithm. Using this... View More

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