标题:
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
关键字:
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
期刊名称:
《Pure Mathematics》, Vol.3 No.1, 2013-01-28
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。
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.