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变时滞模糊BAM神经网络的全局指数稳定性

Global Exponential Stability of Fuzzy BAM Neural Networks with Variable Delays
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摘要 本文讨论了一类具有变时滞模糊FBAM(fuzzy bi-directional associate memory)神经网络平衡点的存在性和全局指数稳定性,利用不动点定理及Halanay型不等式获得了平衡点存在唯一性及全局指数稳定性的充分条件,所得结论容易验证.最后举例说明所得结果的可行性。 The main purpose of this paper is to study the existence and the global exponential stability of the equilibrium point of a class of fuzzy BAM(bi-directional associate memory)neural networks with variable delays. By using the fixed point theorem, Halanay-type inequalities, the existence, uniqueness and global exponential stability of the equilibrium have been established for this model. The results are easily verified and an example is given to illustrate the feasibility of the results obtained.
出处 《合肥师范学院学报》 2009年第6期3-6,共4页 Journal of Hefei Normal University
基金 国家自然基金(10771001) 安徽省自然科学基金(070416225) 安徽省高校人才基金(05025104) 安徽大学研究生部科技创新与重点课程建设项目资助
关键词 模糊BAM神经网络 变时滞 全局指数稳定性 Halanay型不等式 fuzzy BAM neural networks variable delays global exponential stability Halanay-type inequali
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