A Novel Transfer Enhanced -Expansion Move Learning Model for EEG Signals

Table 1

Descriptions of two popular machine learning algorithms used in recognition of EEG signals.

Algorithms	Theoretical basis	Descriptions	Optimization frameworks
EEM	Graph theory	Select exemplar from actual data, do not need to preset the cluster number	Enhanced graph-cuts optimization algorithm, expand the candidate region
TSK	Fuzzy system	Rule-based learning model, strong interpretability and robustness	Parameter learning process of corresponding linear regression model