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Cluster decomposing and multi-objective optimization based-ensemble learning framework for motor imagery-based brain-computer interfaces.
Zuo, Cili; Jin, Jing; Xu, Ren; Wu, Lianghong; Liu, Chang; Miao, Yangyang; Wang, Xingyu.
Afiliação
  • Zuo C; Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
  • Jin J; Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
  • Xu R; Guger Technologies OG, Herbersteinstraße 60, 8020, Graz, Austria.
  • Wu L; School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, People's Republic of China.
  • Liu C; Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
  • Miao Y; Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
  • Wang X; Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
J Neural Eng ; 18(2)2021 03 02.
Article em En | MEDLINE | ID: mdl-33524961
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador Idioma: En Revista: J Neural Eng Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador Idioma: En Revista: J Neural Eng Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article País de publicação: Reino Unido