Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network.
Rifai ChaiYvonne TranGanesh R. NaikTuan Nghia NguyenSai-Ho LingAshley CraigHung T. NguyenPublished in: EMBC (2016)
Keyphrases
- neural network
- principal component analysis
- learning vector quantization
- pattern recognition
- feature extraction
- pattern classification
- machine learning
- image classification
- feature space
- classification accuracy
- dimension reduction
- multi layer perceptron
- self organizing maps
- artificial neural networks
- eeg signals
- class conditional densities
- principal components
- covariance matrix
- classification method
- classification algorithm
- support vector machine svm
- text classification
- feature selection
- probabilistic neural network
- support vector machine
- face recognition
- knn
- bayesian networks
- learning algorithm
- maximum likelihood
- kohonen self organizing map
- eeg data
- decision trees
- bayesian methods
- extracted features
- support vector
- neural network model
- independent component analysis
- linear discriminant analysis
- singular value decomposition
- supervised learning
- signal processing
- low dimensional
- back propagation