| 一类BAM神经网络的全局指数稳定性 |
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| 引用本文： | 周庆华.一类BAM神经网络的全局指数稳定性[J].肇庆学院学报,2009,30(2):8-11. |
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| 作者姓名： | 周庆华 |
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| 作者单位： | 肇庆学院,数学与信息科学学院,广东,肇庆,526061 |
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| 基金项目： | 肇庆学院青年科学研究基金 |
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| 摘 要： | 利用变参数方法和不等式技巧,研究了一类BAM神经网络的动力学特性,得到了能保证其平衡解唯一性和全局指数稳定性的条件,并且此条件与时滞无关.
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| 关 键 词： | 双边联想记忆 指数稳定 变时滞 耗散 |
Global Exponential Stability of a Class of BAM Neural Networks |
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| ZHOU Qinghua.Global Exponential Stability of a Class of BAM Neural Networks[J].Journal of Zhaoqing University (Bimonthly),2009,30(2):8-11. |
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| Authors: | ZHOU Qinghua |
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| Institution: | ZHOU Qinghua (Faculty of Mathematics and Information Sciences, Zhaoqing University,Zhaoqing Guangdong 526061 ,China) |
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| Abstract: | The stability property of bidirectional associate memory （BAM） neural networks with timevarying delays and diffusion terms are considered. By using the method of variation parameter and inequality technique,the delay-independent sufficient conditions to guarantee the uniqueness and global exponential stability of the equilibrium solution of such networks are established. |
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| Keywords: | bidirectional associate memory exponential stability time-varying delay diffusion |
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