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首页> 外文期刊>International journal of systems science >Global exponential convergence of neutral-type competitive neural networks with multi-proportional delays, distributed delays and time-varying delay in leakage delays
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Global exponential convergence of neutral-type competitive neural networks with multi-proportional delays, distributed delays and time-varying delay in leakage delays

机译:具有多比例时滞,分布时滞和时​​变时滞的中立型竞争神经网络的全局指数收敛

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摘要

This paper is concerned with a class of neutral-type competitive neural networks with multi-proportional delays, distributed delays and leakage delays. By employing the differential inequality theory, some sufficient conditions are given to ensure that all solutions of the addressed system converge exponentially to zero vector. An illustrative example is also given at the end of this paper to show the effectiveness of our results.
机译:本文涉及一类具有多比例时滞,分布时滞和泄漏时滞的中立型竞争神经网络。通过使用微分不等式理论,给出了一些充分的条件以确保所寻址系统的所有解都以指数形式收敛到零向量。本文末尾还给出了一个说明性示例,以显示我们的结果的有效性。

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