EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization.
Nasser Omer Sahel Ba-KaraitSiti Mariyam ShamsuddinRubita SudirmanPublished in: MLDM (2012)
Keyphrases
- hybrid method
- negative selection
- eeg signals
- particle swarm optimization
- real valued
- hybrid algorithm
- artificial immune
- support vector machine
- artificial immune system
- signal processing
- eeg data
- linear discriminant classifier
- clonal selection
- clonal selection algorithm
- particle swarm optimization algorithm
- differential evolution
- brain computer interface
- pattern recognition
- convergence speed
- classification accuracy
- motor imagery
- machine learning
- pso algorithm
- swarm intelligence
- natural selection
- global optimization
- particle swarm optimization pso
- texture features
- simulated annealing
- multi objective
- feature space
- training data
- feature extraction
- decision trees
- computer vision