| 一类Cohen-Grossberg型BAM脉冲神经网络周期解的存在性和全局指数稳定性 |
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| 引用本文： | 张强,盖明久,周刚.一类Cohen-Grossberg型BAM脉冲神经网络周期解的存在性和全局指数稳定性[J].海军航空工程学院学报,2011,26(5):589-595. |
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| 作者姓名： | 张强 盖明久 周刚 |
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| 作者单位： | 海军航空工程学院基础部,山东烟台,264001 |
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| 基金项目： | 海军航空工程学院基础研究基金资助项目 |
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| 摘 要： | 利用Lyapunov泛函、不等式方法及Poincaré映射,建立了一类具有混合时滞的Cohen-Grossberg型BAM脉冲神经网络周期解的存在性和全局指数稳定性的充分性判据。
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| 关 键 词： | 神经网络 时滞 脉冲 周期解 |
Global Exponential Stability of Periodic Solutions for a Classof Cohen-Grossberg-Type BAM Neural Networks |
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| ZHANG Qiang,GAI Ming-jiu and ZHOU Gang.Global Exponential Stability of Periodic Solutions for a Classof Cohen-Grossberg-Type BAM Neural Networks[J].Journal of Naval Aeronautical Engineering Institute,2011,26(5):589-595. |
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| Authors: | ZHANG Qiang GAI Ming-jiu and ZHOU Gang |
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| Institution: | ZHANG Qiang,GAI Ming-jiu,ZHOU Gang (Department of Basic Sciences,NAAU,Yantai Shandong 264001,China) |
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| Abstract: | Some sufficient conditions for the existence and global exponential stability of periodic solutions for impulsive Cohen-Grossberg-type BAM neural networks with mixed delays were established by using Lyapunov functional method, inequality techniques and Poincare mapping. |
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| Keywords: | neural networks delay impulse periodic solution |
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