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Open Access

Peer-reviewed

Research Article

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

Enzeng Dong,

Roles Conceptualization, Funding acquisition, Methodology

Affiliation Tianjin Key Laboratory For Control Theory & Applications in Complicated Systems, Tianjin University of Technology, Tianjin, The People’s Republic of China
⨯
Guangxu Zhu,

Roles Formal analysis, Software, Writing – original draft

Affiliation Tianjin Key Laboratory For Control Theory & Applications in Complicated Systems, Tianjin University of Technology, Tianjin, The People’s Republic of China
⨯
Chao Chen,

Roles Supervision, Validation

Affiliation Tianjin Key Laboratory For Control Theory & Applications in Complicated Systems, Tianjin University of Technology, Tianjin, The People’s Republic of China
⨯
Jigang Tong ,

Roles Data curation, Project administration

* E-mail: tjgtjut@163.com

Affiliation Tianjin Key Laboratory For Control Theory & Applications in Complicated Systems, Tianjin University of Technology, Tianjin, The People’s Republic of China

http://orcid.org/0000-0002-6740-4179

⨯
Yingjie Jiao,

Roles Investigation, Resources

Affiliation Xi’an Modern Control Technology Research Institute, Xi’an, Shaanxi Province, The People’s Republic of China
⨯
Shengzhi Du

Roles Funding acquisition, Supervision, Writing – review & editing

Affiliation Department of Electrical Engineering, Tshwane University of Technology, Pretoria, South Africa
⨯

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

Enzeng Dong,
Guangxu Zhu,
Chao Chen,
Jigang Tong,
Yingjie Jiao,
Shengzhi Du

x

Published: June 29, 2018
https://doi.org/10.1371/journal.pone.0198786

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