An EEG signals classification system using optimized adaptive neuro-fuzzy inference model based on harmony search algorithm

International Conference on Control, Automation and Systems

Volumn , Issue , 2011, Pages 1457-1461

  Ko, Kwang Eun ^a   Sim, Kwee Bo ^a  

^a Chung Ang University   (South Korea)

Author keywords

Adaptive neuro fuzzy inference model; EEG signal; Harmony Search algorithm; Hjorth parameters

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE; EEG SIGNAL; EEG SIGNALS; EEG SIGNALS CLASSIFICATION; ELECTROENCEPHALOGRAM SIGNALS; GRADIENT DESCENT METHOD; HARMONY SEARCH ALGORITHMS; HJORTH PARAMETERS; HS ALGORITHM; HUMAN BRAIN; MODEL BASED APPROACH; MODEL TRAINING; MOTOR IMAGERY EEG; MOTOR IMAGERY TASKS;

BACKPROPAGATION ALGORITHMS; BRAIN; ELECTROENCEPHALOGRAPHY; FUZZY INFERENCE; INFERENCE ENGINES; LEARNING ALGORITHMS; OPTIMIZATION;

ADAPTIVE CONTROL SYSTEMS;

EID: 84856528339     PISSN: 15987833     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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