热门
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
文献类型：期刊论文
| 作者 | Zhang, Huaguang1,2; Wang, Zhanshan1,2; Liu, Derong3 |
| 刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
 |
| 出版日期 | 2014-07-01 |
| 卷号 | 25期号:7页码:1229-1262 |
| 关键词 | Cohen-Grossberg neural networks discrete delay distributed delays Hopfield neural networks linear matrix inequality (LMI) Lyapunov diagonal stability (LDS) M-matrix recurrent neural networks robust stability stability |
| 英文摘要 | Stability problems of continuous-time recurrent neural networks have been extensively studied, and many papers have been published in the literature. The purpose of this paper is to provide a comprehensive review of the research on stability of continuous-time recurrent neural networks, including Hopfield neural networks, Cohen-Grossberg neural networks, and related models. Since time delay is inevitable in practice, stability results of recurrent neural networks with different classes of time delays are reviewed in detail. For the case of delay-dependent stability, the results on how to deal with the constant/variable delay in recurrent neural networks are summarized. The relationship among stability results in different forms, such as algebraic inequality forms, M-matrix forms, linear matrix inequality forms, and Lyapunov diagonal stability forms, is discussed and compared. Some necessary and sufficient stability conditions for recurrent neural networks without time delays are also discussed. Concluding remarks and future directions of stability analysis of recurrent neural networks are given. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | GLOBAL ASYMPTOTIC STABILITY ; ABSOLUTE EXPONENTIAL STABILITY ; DESCRIPTOR SYSTEM APPROACH ; DELAY-DEPENDENT STABILITY ; REACTION-DIFFUSION TERMS ; H-INFINITY CONTROL ; COHEN-GROSSBERG MODEL ; DISCONTINUOUS ACTIVATION FUNCTIONS ; FUNCTIONAL-DIFFERENTIAL EQUATIONS ; DERIVING SUFFICIENT CONDITIONS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000337906300001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3839]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队 |
| 作者单位 | 1.Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China 2.State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Huaguang,Wang, Zhanshan,Liu, Derong. A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2014,25(7):1229-1262. |
| APA | Zhang, Huaguang,Wang, Zhanshan,&Liu, Derong.(2014).A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,25(7),1229-1262. |
| MLA | Zhang, Huaguang,et al."A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 25.7(2014):1229-1262. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
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。