Pseudo almost periodic solutions for CNNs with leakage delays and complex deviating arguments
Pseudo almost periodic solutions for CNNs with leakage delays and complex deviating arguments
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DOI：
10.1007/s00521-014-1732-8
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发表时间：
2015-02
影响因子：
6
通讯作者：
Bingwen Liu;C. Tunç
中科院分区：
文献类型：
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作者：
Bingwen Liu;C. Tunç
本文研究了具有泄漏延迟和复杂偏离参数的细胞神经网络。利用指数二分理论、收缩映射不动点定理和不等式分析技术，建立了该模型伪概周期解的存在性判据。本文的结果是新的，补充了以前已知的结果。
In this paper, cellular neural networks with leakage delays and complex deviating arguments are considered. Some criteria are established for the existence of pseudo almost periodic solutions for this model by using the exponential dichotomy theory, contraction mapping fixed point theorem and inequality analysis technique. The results of this paper are new and complement previously known results.