Research Article

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

Algorithm 2

Optimization model of Enhanced -Expansion Move algorithm.
Input: similarity matrix , dataset , maximum number of iteration
Output: valid exemplar set .
(1)Randomly generate expansion order .
(2)Let ;
(3)fordo
(4)ifthen
(5)  compute by equations (18), (19)
(6)  ifthen
(7)   for , set
(8)  end
(9)else
(10)  compute by equations (20), (21), (22)
(11)  ifthen
(12)   for , set
(13)  else
(14)   for , set
(15)  end
(16)  ifthen
(17)   Accept the new exemplar
(18)  end
(19)end
(20)t = t + 1
(21)end
(22)Until convergence