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....

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Detalles Bibliográficos
Autores principales: Shojaedini, Seyed Vahab, Morabbi, Sajedeh, Keyvanpour, Mohamad Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2021
Materias:
Original Article
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

Internet

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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