Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks.
Elliott M. ForneyCharles W. AndersonPublished in: IJCNN (2011)
Keyphrases
- recurrent neural networks
- eeg data
- feed forward
- recurrent networks
- neural network
- complex valued
- eeg signals
- artificial neural networks
- decision trees
- chaotic time series
- cascade correlation
- feedforward neural networks
- reservoir computing
- machine learning
- motor imagery
- classification accuracy
- short term
- pattern recognition
- feature vectors
- support vector machine svm
- independent component analysis
- signal processing
- multi task
- text classification
- echo state networks
- nonlinear dynamic systems
- knowledge base
- sleep stage
- extracted features
- neural model
- training set
- neural models
- feature extraction
- elman neural network
- cross validation