Introducing chaos behavior to kernel relevance vector machine (RVM) for four-class EEG classification

This paper addresses a chaos kernel function for the relevance vector machine (RVM) in EEG signal classification, which is an important component of Brain-Computer Interface (BCI). The novel kernel function has evolved from a chaotic system, which is inspired by the fact that human brain signals dep...

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Detalles Bibliográficos
Autores principales: Dong, Enzeng, Zhu, Guangxu, Chen, Chao, Tong, Jigang, Jiao, Yingjie, Du, Shengzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025910/
https://www.ncbi.nlm.nih.gov/pubmed/29958301
http://dx.doi.org/10.1371/journal.pone.0198786

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025910/
https://www.ncbi.nlm.nih.gov/pubmed/29958301
http://dx.doi.org/10.1371/journal.pone.0198786

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