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Performance comparison of neural network training methods based on wavelet packet transform for classification of five mental tasks

Vijay Khare, Jayashree Santhosh, Sneh Anand, Manvir Bhatia
2010 Journal of Biomedical Science and Engineering  
In this study, performances comparison to discriminate five mental states of five artificial neural network (ANN) training methods were investigated. Wavelet Packet Transform (WPT) was used for feature extraction of the relevant frequency bands from raw electroencephalogram (EEG) signals. The five ANN training methods used were (a) Gradient Descent Back Propagation (b) Levenberg-Marquardt (c) Resilient Back Propagation (d) Conjugate Learning Gradient Back Propagation and (e) Gradient Descent
more » ... Gradient Descent Back Propagation with movementum.
doi:10.4236/jbise.2010.36083 fatcat:436qd33kenanxalpzrsvxe3quu