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谁帮忙检索这篇论文是否SCI，web of science的检索信息，谢谢！已有1人参与
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Qintao Gan, Tielin Liu, Chang Liu, Tianshi Lv Synchronization for a class of generalized neural networks with interval time-varying delays and reaction-diffusion terms 2016，Vol. 21, No. 3，pp. 379–399 doi:10.15388/NA.2016.3.6 @Monash2011 |
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ganqintao: 金币+10, ★★★★★最佳答案 2016-06-15 22:17:47
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ganqintao: 金币+10, ★★★★★最佳答案 2016-06-15 22:17:47
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Synchronization for a class of generalized neural networks with interval time-varying delays and reaction-diffusion terms 作者:Gan, QT (Gan, Qintao)[ 1 ] ; Liu, TL (Liu, Tielin)[ 2 ] ; Liu, C (Liu, Chang)[ 1 ] ; Lv, TS (Lv, Tianshi)[ 1 ] NONLINEAR ANALYSIS-MODELLING AND CONTROL 卷: 21 期: 3 页: 379-399 出版年: 2016 查看期刊信息 摘要 In this paper, the synchronization problem for a class of generalized neural networks with interval time-varying delays and reaction-diffusion terms is investigated under Dirichlet boundary conditions and Neumann boundary conditions, respectively. Based on Lyapunov stability theory, both delay-derivative-dependent and delay-range-dependent conditions are derived in terms of linear matrix inequalities (LMIs), whose solvability heavily depends on the information of reaction-diffusion terms. The proposed generalized neural networks model includes reaction-diffusion local field neural networks and reaction-diffusion static neural networks as its special cases. The obtained synchronization results are easy to check and improve upon the existing ones. In our results, the assumptions for the differentiability and monotonicity on the activation functions are removed. It is assumed that the state delay belongs to a given interval, which means that the lower bound of delay is not restricted to be zero. Finally, the feasibility and effectiveness of the proposed methods is shown by simulation examples. 关键词 作者关键词:synchronization; local field neural networks; static neural networks; reaction-diffusion; interval time-varying delays KeyWords Plus:STABILITY ANALYSIS 作者信息 通讯作者地址: Gan, QT (通讯作者) Shijiazhuang Mech Engn Coll, Dept Basic Sci, Shijiazhuang 050003, Peoples R China. 地址: [ 1 ] Shijiazhuang Mech Engn Coll, Dept Basic Sci, Shijiazhuang 050003, Peoples R China [ 2 ] Shijiazhuang Mech Engn Coll, Dept Equipment Command & Management, Shijiazhuang 050003, Peoples R China 电子邮件地址:ganqintao@sina.com 基金资助致谢 基金资助机构 授权号 National Natural Science Foundation of China 61305076 11371368 11071254 查看基金资助信息 出版商 INST MATHEMATICS & INFORMATICS, AKADEMIJOS STR 4, VILNIUS LT-08663, LITHUANIA 类别 / 分类 研究方向:Mathematics; Mechanics Web of Science 类别:Mathematics, Applied; Mathematics, Interdisciplinary Applications; Mechanics 文献信息 文献类型:Article 语种:English 入藏号: WOS:000375346700006 ISSN: 1392-5113 期刊信息 Impact Factor (影响因子): Journal Citation Reports® 其他信息 IDS 号: DL0TY Web of Science 核心合集中的 "引用的参考文献": 19 Web of Science 核心合集中的 "被引频次": 0 |
2楼2016-06-15 22:08:06