Multi-scale wavelet kernel extreme learning machine for EEG feature classification
Qi Liu, Xiaoguang Zhao, Zeng‐Guang Hou, Hongguang Liu · 2015
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.