Improvement of Classification Accuracy in a Phase-Tagged Steady-State Visual Evoked Potential-Based Brain-Computer Interface Using Adaptive Neuron-Fuzzy Classifier.
Hao-Teng HsuPo-Lei LeeKuo-Kai ShyuPublished in: Int. J. Fuzzy Syst. (2017)
Keyphrases
- fuzzy classifier
- classification accuracy
- adaptive learning
- steady state visual evoked
- fuzzy rules
- pattern classification
- neural network
- feature set
- training data
- computer vision
- neuro fuzzy
- naive bayes
- training set
- feature selection
- rough sets
- feature space
- membership functions
- face recognition
- image processing
- metadata
- fuzzy membership functions
- decision making