Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks.
Bao-Liang LuJonghan ShinMichinori IchikawaPublished in: ICANN (2001)
Keyphrases
- eeg signals
- min max
- massively parallel
- modular neural networks
- signal processing
- pattern recognition
- brain computer interface
- fine grained
- eeg data
- parallel computing
- classification accuracy
- motor imagery
- brain signals
- kernel density estimators
- brain activity
- feature selection
- evolutionary learning
- parallel machines
- extracted features
- fuzzy logic
- support vector machine
- data analysis
- linear discriminant classifier
- support vector machine svm
- feature space
- support vector
- image processing
- machine learning