CORC  > 大连理工大学
A Novel Sparse Representation Classification Method for Gas Identification Using Self-Adapted Temperature Modulated Gas Sensors
He, Aixiang; Wei, Guangfen; Yu, Jun; Li, Meihua; Li, Zhongzhou; Tang, Zhenan
刊名SENSORS
2019
卷号19
关键词electronic nose gas identification sparse representation classification (SRC) method of optimal directions (MOD) temperature modulation
ISSN号1424-8220
URL标识查看原文
WOS记录号[DB:DC_IDENTIFIER_WOSID]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3218654
专题大连理工大学
作者单位1.Shandong Technol & Business Univ, Sch Informat & Elect Engn, Yantai 264005, Peoples R China.
2.Dalian Univ Technol, Key Lab Liaoning Integrated Circuits Technol, Fac Elect Informat & Elect Engn, Dalian 116023, Peoples R China.
推荐引用方式
GB/T 7714
He, Aixiang,Wei, Guangfen,Yu, Jun,et al. A Novel Sparse Representation Classification Method for Gas Identification Using Self-Adapted Temperature Modulated Gas Sensors[J]. SENSORS,2019,19.
APA He, Aixiang,Wei, Guangfen,Yu, Jun,Li, Meihua,Li, Zhongzhou,&Tang, Zhenan.(2019).A Novel Sparse Representation Classification Method for Gas Identification Using Self-Adapted Temperature Modulated Gas Sensors.SENSORS,19.
MLA He, Aixiang,et al."A Novel Sparse Representation Classification Method for Gas Identification Using Self-Adapted Temperature Modulated Gas Sensors".SENSORS 19(2019).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace