EEG signals classification using a hybrid method based on negative selection and particle swarm optimization

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

Volumn 7376 LNAI, Issue , 2012, Pages 427-438

  Ba Karait, Nasser Omer ^a   Shamsuddin, Siti Mariyam ^a   Sudirman, Rubita ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

artificial immune system; discrete wavelet transform; Electroencephalogram; epileptic seizure; machine learning; particle swarm optimization

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; CLASSIFICATION ACCURACY; EEG SIGNALS; EEG SIGNALS CLASSIFICATION; EPILEPTIC PATIENTS; EPILEPTIC SEIZURES; HUMAN SCORERS; HYBRID METHOD; NEGATIVE SELECTION; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION ALGORITHM;

ALGORITHMS; DATA MINING; DISCRETE WAVELET TRANSFORMS; ELECTROENCEPHALOGRAPHY; LEARNING SYSTEMS; PATTERN RECOGNITION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84864929451     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31537-4_34     Document Type: Conference Paper

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