A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification performance for a reliable brain-computer interface.
D. JaipriyaK. C. SriharipriyaPublished in: Frontiers Comput. Neurosci. (2022)
Keyphrases
- empirical mode decomposition
- eeg signals
- back propagation
- feed forward
- brain computer interface
- neural network
- motor imagery
- artificial neural networks
- neural nets
- hidden layer
- training algorithm
- feed forward neural networks
- signal processing
- bp neural network
- activation function
- non stationary
- pattern recognition
- brain activity
- learning algorithm
- eeg data
- human visual system
- bp algorithm
- recurrent neural networks
- feedforward neural networks
- multilayer perceptron
- error back propagation
- fuzzy logic
- visual cortex
- biologically plausible
- multi layer neural network
- multi band
- wavelet neural network
- machine learning
- image quality
- learning rules
- image processing
- rbf network
- real time
- feature space