Evolutionary algorithms and rough sets-based hybrid approach to classificatory decomposition of cortical evoked potentials

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2475, Issue , 2002, Pages 621-628

  Smolinski, Tomasz G ^a   Boratyn, Grzegorz M ^a   Milanova, Mariofanna ^b   Zurada, Jacek M ^a   Wrobel, Andrzej ^c  

^a University of Louisville   (United States)

^b University of Arkansas at Little Rock ^*  (United States)

^c NENCKI INSTITUTE OF EXPERIMENTAL BIOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; ELECTROPHYSIOLOGY; EVOLUTIONARY ALGORITHMS; FUNCTIONS; HYBRID SYSTEMS; SIGNAL DISTORTION; SIGNAL PROCESSING;

EVOLUTIONARY ALGORITHMS (EAS); HYBRID APPROACH; OVER-COMPLETE DICTIONARIES; PROBABILISTIC MODELING; SELECTION MECHANISM; SIGNAL CLASSIFICATION; SIGNAL DECOMPOSITION; SIGNAL DECOMPOSITION TECHNIQUE;

ROUGH SET THEORY;

EID: 33750038146     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45813-1_82     Document Type: Conference Paper

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