| 带脉冲变系数的BAM神经网络的全局指数稳定性 |
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| 引用本文： | 张超龙,杨逢建,胡小建.带脉冲变系数的BAM神经网络的全局指数稳定性[J].生物数学学报,2007,22(3):395-402. |
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| 作者姓名： | 张超龙 杨逢建 胡小建 |
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| 作者单位： | 仲恺农业技术学院,计算科学系,广东,广州,510225 |
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| 摘 要： | 在固定脉冲时刻，利用无需有界、单调和可微的李普希茨激励函数，来研究BAM脉冲神经网络，获得平衡点的存在唯一性和全局指数稳定性的充分条件，然后通过举例来验证所得结论的有效性．
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| 关 键 词： | 神经网络 全局指数稳定性 脉冲 |
| 文章编号： | 1001-9626（2007）03-0395-08 |
| 收稿时间： | 2005-10-10 |
| 修稿时间： | 2005年10月10 |
Global Exponential Stability of Bam Neural Networks with Varying Coefficient and Impulses |
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| ZHANG Chao-long,YANG Feng-jian,HU Xiao-jian.Global Exponential Stability of Bam Neural Networks with Varying Coefficient and Impulses[J].Journal of Biomathematics,2007,22(3):395-402. |
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| Authors: | ZHANG Chao-long YANG Feng-jian HU Xiao-jian |
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| Institution: | Department of Computation Science, Zhongkai University of Agriculture and Technology Guangzhou Guangdong 510225 China |
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| Abstract: | In this paper, some sufficient conditions ensuring existence, uniqueness,and global exponential stability of the equilibrium point of a class of two-layer heteroassociative networks called bidirectional associative memory(BAM) networks with impulses are obtained, which makes full use of Lipschitzian activation functions without assuming their bounded, monotonicity or differentiability and subjected to impulsive state displacements at fixed instants of time. An illustrative example is to demonstrate the effectiveness of the obtained results. |
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| Keywords: | Neural networks Global exponential stability Impulse |
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