Efficient classification system based on Fuzzy–Rough Feature Selection and Multitree Genetic Programming for intension pattern recognition using brain signal

•We design a classification system for brain signal based on evolutionary algorithm.•The proposed methods base on fuzzy rough theory and Multitree Genetic Programming.•We examine the intension pattern of brain signals with fNIRS.•The proposed FRFS reduced the data volume and extracted the informativ...

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Veröffentlicht in:	Expert systems with applications 2015-02, Vol.42 (3), p.1644-1651
Hauptverfasser:	Lee, Jong-Hyun, Rahimipour Anaraki, Javad, Ahn, Chang Wook, An, Jinung
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Applied sciences Biological and medical sciences Brain Brain signal Classification Cognition. Intelligence Computer science control theory systems Data processing. List processing. Character string processing Decision making. Choice Electrodiagnosis. Electric activity recording Exact sciences and technology Expert systems Feature extraction Feature selection Fundamental and applied biological sciences. Psychology Fuzzy–rough sets Genetic algorithms Intension recognition Investigative techniques, diagnostic techniques (general aspects) Medical sciences Memory organisation. Data processing Multitree GP Nervous system Pattern recognition Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Recognition Software
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