Automatic detection of electroencephalographic changes using adaptive neuro-fuzzy inference system employing Lyapunov exponents

Expert Systems with Applications

Volumn 36, Issue 5, 2009, Pages 9031-9038

  Übeyli, Elif Derya ^a  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); Electroencephalogram (EEG) signals; Fuzzy logic; Lyapunov exponent

Indexed keywords

CLASSIFIERS; CURVE FITTING; DIFFERENTIAL EQUATIONS; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; FUZZY SETS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; LYAPUNOV METHODS; NEURAL NETWORKS; OPTICAL SENSORS; TELECOMMUNICATION NETWORKS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS); ANFIS CLASSIFIERS; ANFIS MODELS; AUTOMATIC DETECTIONS; CLASSIFICATION ACCURACIES; DIAGNOSTIC ACCURACIES; EEG SIGNALS; ELECTROENCEPHALOGRAM (EEG) SIGNALS; FUZZY LOGIC; GRADIENT DESCENT METHODS; INPUT DATUM; LEAST SQUARES METHODS; LYAPUNOV EXPONENT; NETWORK ADAPTIVE; QUALITATIVE APPROACHES; TWO STAGES;

FUZZY INFERENCE;

EID: 60849087328     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.12.019     Document Type: Article

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