Brain activity pattern recognition based on symbolic regression

Devices, Information-measuring Systems

The task of electroencephalogram analysis is examined for the purpose of generation of effective recognition and categorization means. Symbolic regression method based on genetic programming is realized with the key advantage of automatic generation of regression model structure. Research results, given in the paper, represent the accuracy of short duration signals regression models at the level of 86 % upon the average.