Feature selection and recognition of electroencephalogram signals: An extreme learning machine and genetic algorithm-based approach.
Qin LinJia-Bo HuangJian ZhongSi-Da LinYun XuePublished in: ICMLC (2015)
Keyphrases
- extreme learning machine
- genetic algorithm
- feature selection
- feature extraction
- neural network
- eeg signals
- support vector regression
- feedforward neural networks
- feed forward neural networks
- text categorization
- support vector machine
- machine learning
- pattern recognition
- feature set
- signal processing
- fuzzy logic
- hidden nodes
- single layer
- artificial neural networks
- dimensionality reduction
- model selection
- feature subset
- classification accuracy
- learning algorithm
- semi supervised
- high dimensional
- multi layer
- function approximation
- graphical models