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一类Cohen-Grossberg型神经网络概周期解的全局指数稳定 被引量：1

Almost Periodic Solutions Global Exponential Stability of Cohen-Grossberg Neural Networks
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摘要 研究了一类Cohen-Grossberg型神经网络概周期解的存在唯一性及全局指数稳定性,得到了判断概周期解存在唯一及全局指数稳定的充分条件,推广了一些已有的结论。 In this paper, the existence, uniqueness and global exponential stability of the almost periodic solution for a class of Cohen-Grossberg neural networks were studied, and the sufficient conditions for it＇ s global exponential stability of the unique almost periodic solution was given. The results improver some present conclusions.
作者 张强 盖明久 张宁 崔世维
机构地区 海军航空工程学院基础部 海军航空工程学院训练部 海军航空工程学院研究生管理大队
出处 《海军航空工程学院学报》 2014年第4期374-378,共5页 Journal of Naval Aeronautical and Astronautical University
关键词 Cohen-Grossbergg型神经网络 概周期解 稳定性 Cohen-Grossberg neural networks almost periodic solution stability
分类号 TP183 [自动化与计算机技术—控制理论与控制工程] O175 [理学—基础数学]
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参考文献13

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海军航空工程学院学报
2014年 第4期

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