Embedded grey relation theory in Hopfield neural network: application to motor imagery EEG recognition.

  • Wei-Yen Hsu
  • Published 2013 in Clinical EEG and neuroscience

Abstract

In this study, grey-based Hopfield neural network (GHNN), is proposed for the unsupervised analysis of motor imagery (MI) electroencephalogram (EEG) data. Combined with segment selection and feature extraction, GHNN is used for the recognition of left and right MI data. A Gaussian-like filter is proposed to reduce noise, to further enhance performance of… (More)
DOI: 10.1177/1550059413477090

Topics

Cite this paper

@article{Hsu2013EmbeddedGR, title={Embedded grey relation theory in Hopfield neural network: application to motor imagery EEG recognition.}, author={Wei-Yen Hsu}, journal={Clinical EEG and neuroscience}, year={2013}, volume={44 4}, pages={257-64} }