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首页> 外文期刊>Journal of computational and theoretical nanoscience >Existence and Exponential Stability of Anti-Periodic Solutions in Bidirectional Associative Memory Neural Networks with Distributed Delays
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Existence and Exponential Stability of Anti-Periodic Solutions in Bidirectional Associative Memory Neural Networks with Distributed Delays

机译:分布延迟双向关联内存神经网络中反周期解的存在和指数稳定性

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摘要

This paper is concerned with the existence and exponential stability of anti-periodic solutions of BAM neural networks with distributed delays. Using some analysis skills and Lyapunov method, sufficient conditions for the existence and exponential stability of anti-periodic solutions to the BAM neural networks with distributed delays are presented. Our results are new and complement of some previously known ones.
机译:本文涉及BAM神经网络与分布延迟的反周期解的存在和指数稳定性。 使用一些分析技巧和Lyapunov方法,提出了对具有分布延迟的BAM神经网络的反周期解的存在和指数稳定性的充分条件。 我们的结果是一些先前已知的结果。

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