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具分布时滞的C-G神经网络模型的伪概周期解 被引量:1

Pseudo Almost Periodic Solution of Cohen-Grossberg Neural Networks with Distributed Delays
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摘要 利用不动点定理和不等式分析技巧,讨论了一类分布时滞C-G神经网络,得到了其伪概周期解存在且唯一的一个新的充分条件,并给出一个实例来说明我们结果的正确性. In this paper,based on fixed point thereom and inequality techniques,some sugficient conditions are obtained to ensure the existence and uniquess of the pseudo almost periodic solution of a class Cohen-Grossberg neural networks with distributed delays.An example is given to illustrate the correctness of our results.
机构地区 湘南学院数学系
出处 《湘南学院学报》 2012年第2期1-7,共7页 Journal of Xiangnan University
基金 湖南省自然科学基金项目(11JJ3005) 湖南省大学生研究性学习和创新性实验计划项目(2011)
关键词 COHEN-GROSSBERG神经网络 伪概周期解 分布时滞 Cohen-Grossberg neural networks pseudo almost periodic solution distributed delays
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参考文献11

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