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首页> 外文期刊>Communications in Nonlinear Science and Numerical Simulation >Global exponential stability of high-order Hopfield-type neural networks with S-type distributed time delays
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Global exponential stability of high-order Hopfield-type neural networks with S-type distributed time delays

机译:具有S型分布时滞的高阶Hopfield型神经网络的全局指数稳定性

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摘要

This paper studies the problems of global exponential stability of high-order Hopfield-type neural networks with s-type distributed time delays. By using the topological degree theory and differential inequality technique, we prove existence of the equilibrium point and global existence of the solutions. We obtain some sufficient conditions on global exponential stability in terms of intercept equation, which are easily verifiable and have a wider adaptive. An example is also discussed to illustrate our results.
机译:本文研究了具有s型分布时滞的高阶Hopfield型神经网络的全局指数稳定性问题。通过使用拓扑度理论和微分不等式技术,我们证明了平衡点的存在和解的整体存在。我们根据截距方程获得了关于全局指数稳定性的一些充分条件,这些条件易于验证并且具有更广泛的适应性。还讨论了一个例子来说明我们的结果。

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