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Exponential input-to-state stability for complex-valued memristor-based BAM neural networks with multiple time-varying delays
Guo, Runan; Zhang, Ziye; Liu, Xiaoping; Lin, Chong; Wang, Haixia; Chen, Jian
刊名NEUROCOMPUTING
2018
卷号275页码:2041-2054
关键词Exponential input-to-state stability Memristor-based BAM neural networks Complex-valued systems Multiple time-varying delays Lyapunov functional
DOI10.1016/j.neucom.2017.10.038
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/4563979
专题山东大学
作者单位1.Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China.
2.Lakehead
推荐引用方式
GB/T 7714
Guo, Runan,Zhang, Ziye,Liu, Xiaoping,et al. Exponential input-to-state stability for complex-valued memristor-based BAM neural networks with multiple time-varying delays[J]. NEUROCOMPUTING,2018,275:2041-2054.
APA Guo, Runan,Zhang, Ziye,Liu, Xiaoping,Lin, Chong,Wang, Haixia,&Chen, Jian.(2018).Exponential input-to-state stability for complex-valued memristor-based BAM neural networks with multiple time-varying delays.NEUROCOMPUTING,275,2041-2054.
MLA Guo, Runan,et al."Exponential input-to-state stability for complex-valued memristor-based BAM neural networks with multiple time-varying delays".NEUROCOMPUTING 275(2018):2041-2054.
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