Non-negative Matrix Factorizations Based Spontaneous Electroencephalographic Signals Classification Using Back Propagation Feedback Neural Networks.
Mingyu LiuJue WangChongxun ZhengPublished in: ISNN (3) (2005)
Keyphrases
- back propagation
- neural network
- eeg signals
- artificial neural networks
- feed forward
- matrix factorization
- training algorithm
- bp neural network
- multilayer perceptron neural network
- pattern recognition
- feed forward neural networks
- bp algorithm
- neural nets
- trained neural network
- multilayer perceptron
- hidden layer
- fuzzy logic
- eeg data
- signal processing
- backpropagation algorithm
- radial basis function neural network
- learning algorithm
- rule extraction
- support vector machine
- cascade correlation
- weight update
- feedforward neural networks
- levenberg marquardt
- pattern classification
- activation function
- support vector
- error back propagation
- learning rules
- nonnegative matrix factorization
- multi layer perceptron
- connection weights
- recurrent neural networks
- feature space
- rbf network
- tensor factorization
- bp network
- feature selection
- multi layer
- feature extraction
- generalization ability
- collaborative filtering
- artificial intelligence
- training process