Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization

Support vector machines are powerful tools used to solve the small sample and nonlinear classification problems, but their ultimate classification performance depends heavily upon the selection of appropriate kernel and penalty parameters. In this study, we propose using a particle swarm optimizatio...

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Detalles Bibliográficos
Autores principales: Ma, Yuliang, Ding, Xiaohui, She, Qingshan, Luo, Zhizeng, Potter, Thomas, Zhang, Yingchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4904086/
https://www.ncbi.nlm.nih.gov/pubmed/27313656
http://dx.doi.org/10.1155/2016/4941235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4904086/
https://www.ncbi.nlm.nih.gov/pubmed/27313656
http://dx.doi.org/10.1155/2016/4941235

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