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一类变系数混合时滞细胞神经网络周期解的存在性和全局指数稳定性 被引量:1

Global Exponential Stability of Periodic Solution of a Class of Cell Neural Networks with Variable Coefficients and Mixed Time-Varying Delays
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摘要 应用Mawhin连续性定理和不等式方法,给出了一类变系数混合时滞细胞神经网络周期解存在和指数稳定的充分条件。该结论对神经网络的设计具有重要的参考价值。 By applying Mawhin s continuation theorem and inequality techniques,sufficient conditions were established to guarantee a class of cell neural networks with variable coefficients and mixed time delays has a global exponentially stable periodic solution.The results are valuable in the design of neural networks.
出处 《海军航空工程学院学报》 2009年第6期711-715,共5页 Journal of Naval Aeronautical and Astronautical University
关键词 周期解 细胞神经网络 存在性 指数稳定性 periodic solutions cell neural networks existence exponential stability
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参考文献10

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同被引文献7

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