Recurrent neural networks employing Lyapunov exponents for EEG signals classification.
Nihal Fatma GülerElif Derya ÜbeyliInan GülerPublished in: Expert Syst. Appl. (2005)
Keyphrases
- eeg signals
- recurrent neural networks
- motor imagery
- neural network
- pattern recognition
- feed forward
- signal processing
- feature extraction
- eeg data
- linear discriminant classifier
- hidden layer
- brain computer interface
- recurrent networks
- echo state networks
- classification accuracy
- chaotic dynamics
- kernel density estimators
- extracted features
- artificial neural networks
- lyapunov exponents
- support vector machine
- feature vectors
- reinforcement learning
- training data
- machine learning