Novel stability criteria for recurrent neural networks with time-varying delay | |
Ji, Meng-Di; He, Yong*; Zhang, Chuan-Ke; Wu, Min | |
刊名 | Neurocomputing
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2014 | |
卷号 | 138页码:383-391 |
关键词 | Lyapunov-Krasovskii functional Recurrent neural networks Stability Time-varying delay |
ISSN号 | 0925-2312 |
DOI | 10.1016/j.neucom.2014.01.024 |
URL标识 | 查看原文 |
WOS记录号 | WOS:000337261700039;EI:20141917704696 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3316659 |
专题 | 中南大学 |
作者单位 | 1.[Wu, Min 2.Ji, Meng-Di 3.Zhang, Chuan-Ke 4.He, Yong] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China. |
推荐引用方式 GB/T 7714 | Ji, Meng-Di,He, Yong*,Zhang, Chuan-Ke,et al. Novel stability criteria for recurrent neural networks with time-varying delay[J]. Neurocomputing,2014,138:383-391. |
APA | Ji, Meng-Di,He, Yong*,Zhang, Chuan-Ke,&Wu, Min.(2014).Novel stability criteria for recurrent neural networks with time-varying delay.Neurocomputing,138,383-391. |
MLA | Ji, Meng-Di,et al."Novel stability criteria for recurrent neural networks with time-varying delay".Neurocomputing 138(2014):383-391. |
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