A New Method for Detecting P300 Signals by Using Deep Learning: Hyperparameter Tuning in High-Dimensional Space by Minimizing Nonconvex Error Function

BACKGROUND: P300 signal detection is an essential problem in many fields of Brain-Computer Interface (BCI) systems. Although deep neural networks have almost ubiquitously used in P300 detection, in such networks, increasing the number of dimensions leads to growth ratio of saddle points to local min...

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Detalles Bibliográficos
Autores principales: Shojaedini, Seyed Vahab, Morabbi, Sajedeh, Keyvanpour, MohammadReza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293645/
https://www.ncbi.nlm.nih.gov/pubmed/30603612
http://dx.doi.org/10.4103/jmss.JMSS_7_18

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6293645/
https://www.ncbi.nlm.nih.gov/pubmed/30603612
http://dx.doi.org/10.4103/jmss.JMSS_7_18

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