A new method that combines ELM with probabilistic model method is proposed in this paper to classify the electroencephalography (EEG) signals in synchronous ...
Apr 21, 2016 · A new method that combines ELM with probabilistic model method is proposed in this paper to classify the electroencephalography (EEG) signals in ...
A new method that combines ELM with probabilistic model method is proposed in this paper to classify the electroencephalography (EEG) signals in synchronous ...
A new method that combines ELM with probabilistic model method is proposed in this paper to classify the electroencephalography (EEG) signals in synchronous ...
Using ELM-based weighted probabilistic model in the classification of synchronous EEG BCI ... Model for ECG Artifact Minimization from Single Channel EEG.
Using ELM-based weighted probabilistic model in the ... - dblp
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Bibliographic details on Using ELM-based weighted probabilistic model in the classification of synchronous EEG BCI.
A new method that combines ELM with probabilistic model method is proposed in this paper to classify the electroencephalography (EEG) signals in synchronous ...
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In this study, the Extreme Learning Machine (ELM) model was used to classify motor-imaging EEG signals, identify the user's intention, and control external ...
Using ELM-based weighted probabilistic model in the classification of synchronous EEG BCI. Article 21 April 2016. Keywords. Probabilistic neural network (PNN) ...
Jul 7, 2017 · ELM has been used for BCI systems, using it in its classic form, in voting optimized strategy, based on weighted probabilistic model, with ...