Multi-scale wavelet kernel extreme learning machine for EEG feature classification

Qi Liu,Hong-Guang Liu,Xiao-Guang Zhao,Zeng-Guang Hou

doi:10.1109/cyber.2015.7288175

Multi-scale wavelet kernel extreme learning machine for EEG feature classification

Qi Liu, Hong-Guang Liu + Show 2 more

https://doi.org/10.1109/cyber.2015.7288175

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Publication Date: Jun 1, 2015

Citations: 1

Affiliation: Shandong Institute of Automation, China People's Public Security University, Chinese Academy of Sciences

#Wavelet Kernel Extreme Learning Machine #Kernel Extreme Learning Machine Classifier + Show 8 more

Abstract
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Abstract

In this paper, the principle of the kernel extreme learning machine (ELM) is analyzed. Based on that, we introduce a kind of multi-scale wavelet kernel extreme learning machine classifier and apply it to electroencephalographic (EEG) signal feature classification. Experiments show that our classifier achieves excellent performance.

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