时变时滞分数阶切换神经网络的多O(t-α)稳定性

Zhongwen Wu, Fanghai Zhang
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引用次数: 0

摘要

研究时变时滞分数阶切换神经网络(fosnn)的多O(t-α)稳定性。在Filippov解和激活函数的几何性质的框架下,建立了一些新的结果来确定平衡点的存在性。此外,fosnn具有更稳定的平衡点,这揭示了开关阈值在分数阶神经网络中的作用。最后通过一个算例说明了理论结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple O(t-α) Stability of Fractional-order Switched Neural Networks with Time-varying Delays
This article investigates multiple O(t-α) stability of fractional-order switched neural networks(FOSNNs) with time-varying delays. Under the framework of Filippov solution and geometric properties of activation function, some new results are established to ascertain the existence of equilibria. Besides, FOSNNs have more stable equilibria, which reveals that the effect of switching threshold in fractional-order neural networks. One example is provided to illustrate the effectiveness of the theoretical results.
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