EEG signals classification based on autoregressive and inherently quantum recurrent neural network.
Saleem M. R. TahaZahraa K. TahaPublished in: Int. J. Comput. Appl. Technol. (2018)
Keyphrases
- eeg signals
- autoregressive
- recurrent neural networks
- signal processing
- motor imagery
- moving average
- complex valued
- recurrent networks
- eeg data
- non stationary
- gaussian markov random field
- random fields
- support vector machine
- classification accuracy
- brain computer interface
- neural network
- feed forward
- activation function
- linear discriminant classifier
- electrical activity
- kernel density estimators
- image classification
- training set
- pattern recognition
- feature extraction
- computer vision
- machine learning
- feature vectors
- feature space
- support vector
- image segmentation