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

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Single-trial EEG analysis using similarity measure.Artificial bee colony algorithm for single-trial electroencephalogram analysis.Improving classification accuracy of motor imagery EEG using genetic feature selection.

P2860

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P2860

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

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2013 nî lūn-bûn

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Embedded grey relation theory ...... motor imagery EEG recognition.

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Embedded grey relation theory ...... motor imagery EEG recognition.

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Embedded grey relation theory ...... motor imagery EEG recognition.

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Embedded grey relation theory ...... motor imagery EEG recognition.

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Embedded grey relation theory ...... motor imagery EEG recognition.

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P1476

Embedded grey relation theory ...... motor imagery EEG recognition.

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P2093

Wei-Yen Hsu

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P2860

Wavelet-based fractal features with active segment selection: application to single-trial EEG data.

A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface.

Registration accuracy and quality of real-life images.

EEG coherency. I: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales.

EEG from a single-channel dry-sensor recording device.

Analytic differential approach for robust registration of rat brain histological images.

Online removal of muscle artifact from electroencephalogram signals based on canonical correlation analysis.

Continuous EEG signal analysis for asynchronous BCI application.

Improving Alzheimer's disease diagnosis with machine learning techniques.

EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features.

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257-264

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scholarly article

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10.1177/1550059413477090

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2013-03-26T00:00:00Z

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23536381

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

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P2860

P2860

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

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