具分布时滞双向Cohen-Grossberg模型的伪概周期解
Pseudo Almost Periodic Solution of Bidirectional Co-hen-Grossberg Neural Networks with Distributed Delays

作者: 向红军 * , 魏叶梅 , 王金华 :湘南学院数学系;

关键词: 双向C-G神经网络伪概周期解分布时滞Bidirectional Cohen-Grossberg Neural Networks Pseudo Almost Periodic Solution Distributed Delays

摘要:
利用不动点定理和不等式分析技巧,研究了一类具分布时滞的双向Cohen-Grossberg神经网络模型,得到了一个新的充分条件,确保该模型伪概周期解存在性与唯一性,最后用一个实例说明所得结论的正确性

Abstract:
In this paper, by using fixed point theorem and inequality techniques, a new sufficient condition is obtained to ensure the existence and unique for the pseudo almost periodic solution of a class bidirectional Cohen-Grossberg neural networks with distributed delays. An example is given to illustrate the correctness of our discussions.

文章引用: 向红军 , 魏叶梅 , 王金华 (2013) 具分布时滞双向Cohen-Grossberg模型的伪概周期解。 理论数学, 3, 31-40. doi: 10.12677/PM.2013.31006

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