QQ客服 官方微博 反馈留言

	A New Motor Imagery EEG Classification Method FB-TRCSP+RF based on CSP and Random Forest
	Zhang, Ranran; Xiao, Xiaoyan; Liu, Zhi; Jiang, Wei; Li, Jianwen; Cao, Yankun; Ren, Jianmin; Jiang, Dongmei; Cui, Lizhen
刊名	IEEE Access
	2018
页码	44944-44950
关键词	classification Classification algorithms Covariance matrices CSP Electroencephalography FB− TRCSP+ RF feature Feature extraction Forestry Spatial filters Training
DOI	10.1109/ACCESS.2018.2860633
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4582164
专题	山东大学
作者单位	1.School of Information Science and Engineering, Shandong University, Qingdao 2.266237,
推荐引用方式 GB/T 7714	Zhang, Ranran,Xiao, Xiaoyan,Liu, Zhi,et al. A New Motor Imagery EEG Classification Method FB-TRCSP+RF based on CSP and Random Forest[J]. IEEE Access,2018:44944-44950.
APA	Zhang, Ranran.,Xiao, Xiaoyan.,Liu, Zhi.,Jiang, Wei.,Li, Jianwen.,...&Cui, Lizhen.(2018).A New Motor Imagery EEG Classification Method FB-TRCSP+RF based on CSP and Random Forest.IEEE Access,44944-44950.
MLA	Zhang, Ranran,et al."A New Motor Imagery EEG Classification Method FB-TRCSP+RF based on CSP and Random Forest".IEEE Access (2018):44944-44950.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。