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Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks

机译：高阶神经网络的非负周期解的稳定性

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摘要

In this paper, a class of high-ordered neural networks are investigated. By rigorous analysis, a set of sufficient conditions ensuring the existence of a nonnegative periodic solution and its R_+~n-asymptotical stability are established. The results obtained can also be applied to the first-ordered neural networks.

机译：本文研究了一类高阶神经网络。通过严格的分析，建立了一个确保非负周期解的存在及其R_ +〜n-渐近稳定性的充分条件。获得的结果也可以应用于一阶神经网络。

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《International symposium on neural networks 》|2013年|174-180|共7页
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Lili Wang; Tianping Chen;
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High-ordered neural networks; nonnegative periodic solutions; global stability; asymptotical stability;

机译：高阶神经网络;非负周期解;全球稳定;渐近稳定性;

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3. Stability and Existence of Periodic Solutions of Periodic Cellular Neural Networks with Time-Vary Delays [J] . Z. GUI, X.-S. Yang Computers & mathematics with applications . 2006 ,第12期

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4. Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks [C] . Lili Wang, Tianping Chen ISNN 2013 . 2013

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6. Global Exponential Stability of Almost Periodic Solution for Neutral-Type Cohen-Grossberg Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses [O] . Lijun Xu, Qi Jiang, Guodong Gu 2016

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7. Stability and Existence of Periodic Solutions of Periodic Cellular Neural Networks with Time-Vary Delays [O] . Gui Z., Yang X.-S. 2006

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Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks

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