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A New Method to Improve the Performance of Deep Neural Networks in Detecting P300 Signals: Optimizing Curvature of Error Surface Using Genetic Algorithm
BACKGROUND: Deep neural networks have been widely used in detection of P300 signal in Brain Machine Interface (BMI) systems which are rely on Event-Related Potentials (ERPs) (i.e. P300 signals). Such networks have high curvature variation in their error surface hampering their favorable performance....
Autores principales: | Shojaedini, Seyed Vahab, Morabbi, Sajedeh, Keyvanpour, Mohamad Reza |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shiraz University of Medical Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236098/ https://www.ncbi.nlm.nih.gov/pubmed/34189124 http://dx.doi.org/10.31661/jbpe.v0i0.975 |
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