Application of competitive Hopfield neural network to brain-computer interface systems.
about
Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.Registration accuracy and quality of real-life images.A novel approach for lie detection based on F-score and extreme learning machine.A Practical Approach Based on Analytic Deformable Algorithm for Scenic Image RegistrationNeuronal Entropy-Rate Feature of Entopeduncular Nucleus in Rat Model of Parkinson's Disease.Structurally enhanced incremental neural learning for image classification with subgraph extraction.A single-switch BCI based on passive and imagined movements: toward restoring communication in minimally conscious patients.A genetic graph-based approach for partitional clustering.Artificial bee colony algorithm for single-trial electroencephalogram analysis.Application of quantum-behaved particle swarm optimization to motor imagery EEG classification.Single-trial motor imagery classification using asymmetry ratio, phase relation, wavelet-based fractal, and their selected combination.Self-supervised MRI tissue segmentation by discriminative clustering.Independent component analysis and multiresolution asymmetry ratio for brain-computer interface.Enhanced active segment selection for single-trial EEG classification.Embedded grey relation theory in Hopfield neural network: application to motor imagery EEG recognition.Embedded prediction in feature extraction: application to single-trial EEG discrimination.A P300 brain-computer interface based on a modification of the mismatch negativity paradigm.Multichannel decoding for phase-coded SSVEP brain-computer interface.Enhancing the performance of motor imagery EEG classification using phase features.An ERP-based BCI using an oddball paradigm with different faces and reduced errors in critical functions.A high-speed brain speller using steady-state visual evoked potentials.Improving classification accuracy of motor imagery EEG using genetic feature selection.Retrieval of noisy fingerprint patterns using metric attractor networks.Optimization of Earthquake Energy Dissipation System by Genetic Algorithm
P2860
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P2860
Application of competitive Hopfield neural network to brain-computer interface systems.
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2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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name
Application of competitive Hopfield neural network to brain-computer interface systems.
@en
Application of competitive Hopfield neural network to brain-computer interface systems.
@nl
type
label
Application of competitive Hopfield neural network to brain-computer interface systems.
@en
Application of competitive Hopfield neural network to brain-computer interface systems.
@nl
prefLabel
Application of competitive Hopfield neural network to brain-computer interface systems.
@en
Application of competitive Hopfield neural network to brain-computer interface systems.
@nl
P2860
P1476
Application of competitive Hopfield neural network to brain-computer interface systems.
@en
P2093
Wei-Yen Hsu
P2860
P356
10.1142/S0129065712002979
P577
2012-02-01T00:00:00Z