EEG Signal Classification Based On Fuzzy Classifiers.
Jan RabcanVitaly G. LevashenkoElena ZaitsevaMiroslav KvassayPublished in: IEEE Trans. Ind. Informatics (2022)
Keyphrases
- image processing
- eeg signals
- signal processing
- pattern recognition
- feature extraction
- decision trees
- support vector
- classification method
- classification algorithm
- classification systems
- extracted features
- kernel density estimators
- training set
- supervised classification
- classification process
- decision boundary
- class labels
- feature set
- accurate classification
- classification rate
- machine learning methods
- machine learning algorithms
- svm classifier
- classification models
- feature selection
- support vector machine svm
- training samples
- classifier combination
- fuzzy sets
- probabilistic classifiers
- ensemble classifier
- k nearest neighbour
- support vector machine
- rule based classifier
- training data
- pattern classification
- eeg data
- multiple classifiers
- accurate classifiers
- multi category
- event related potentials
- neural network
- fuzzy logic
- multiclass classification
- classifier ensemble
- brain computer interface
- roc curve
- linear regression
- text classification
- imbalanced data sets
- classification decisions
- knn
- classification accuracy
- feature space
- machine learning