Enhancing accuracy of mental fatigue classification using advanced computational intelligence in an electroencephalography system.
Rifai ChaiYvonne TranAshley CraigSai-Ho LingHung T. NguyenPublished in: EMBC (2014)
Keyphrases
- classification accuracy
- computational intelligence
- classification rate
- generalization ability
- high accuracy
- automatic classification
- accuracy rate
- machine learning
- pattern classification
- eeg signals
- feature selection
- image classification
- training set
- pattern recognition
- support vector machine
- decision trees
- support vector machine svm
- classification scheme
- fold cross validation
- roc curve
- correct classification
- predictive accuracy
- confusion matrix
- error rate
- fuzzy logic
- supervised learning
- computational cost
- data sets
- genetic algorithm
- support vector
- feature set
- text classification
- intelligent systems
- evolutionary computation
- classification models
- model selection
- feature vectors
- mental states
- classification systems
- feature space
- feature extraction
- multiple classifier systems
- classification algorithm
- power system