Performance comparison using five ANN methods for classification of EEG signals of two mental states

The Paper demonstrate the comparison of performance by five artificial neural network (ANN) technique (a) Gradient Descent Back Propagation (b) Levenberg-Marquardt (c) Resilient Back Propagation (d) Conjugate Learning Gradient Back Propagation and (e) Gradient Descent Back Propagation with movementum for classification of planning of right hand movement with respect to an awake relaxed state. Wavelet packet transform (WPT) was used for Feature extraction of the relevant electroencephalogram (EEG) signals.