一类具有分布时滞的BAM神经网络的全局指数稳定性

Third International Workshop on Advanced Computational Intelligence Pub Date : 2010-09-23 DOI:10.1109/IWACI.2010.5585233

Chaojin Fu, W. Liu, Meng Yang

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引用次数: 2

摘要

基于收缩映射原理和不等式技术，研究了一类具有分布时滞的BAM神经网络的全局指数稳定性问题。给出了神经网络平衡点的存在唯一性和全局指数稳定性的充分条件。最后，通过数值算例对所得结果进行了验证。

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Global exponential stability of a class of BAM neural networks with distributed delays

Based on contraction mapping principle, inequality technique, global exponential stability of a class of BAM neural networks with distributed delays is considered. Some sufficient conditions are derived which ensure the existence, uniqueness, global exponential stability of equilibrium points of the neural networks. Finally, the obtained results are demonstrated with a numerical example.

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Third International Workshop on Advanced Computational Intelligence

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