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首页> 外文期刊>Chaos, Solitons and Fractals: Applications in Science and Engineering: An Interdisciplinary Journal of Nonlinear Science >On global exponential stability and existence of periodic solutions for BAM neural networks with distributed delays and reaction-diffusion terms
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On global exponential stability and existence of periodic solutions for BAM neural networks with distributed delays and reaction-diffusion terms

机译:具有分布时滞和反应扩散项的BAM神经网络的全局指数稳定性和周期解的存在性

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摘要

Both exponential stability and existence of periodic solutions are considered for a class of bi-directional associative memory (BAM) neural networks with distributed delays and reaction-diffusion terms by constructing suitable Lyapunov functional and Young inequality technique. The general sufficient conditions are given ensuring the global exponential stability and existence of periodic solutions of BAM neural networks with distributed delays and reaction-diffusion terms. The earlier results are extended and improved, and an illustrative example is given to demonstrate the effectiveness of the results in this paper. (c) 2006 Elsevier Ltd. All rights reserved.
机译:通过构造合适的Lyapunov函数和Young不等式技术,考虑了一类具有分布时滞和反应扩散项的双向联想记忆(BAM)神经网络的指数稳定性和周期解的存在性。给出了一般的充分条件,以确保具有分布时滞和反应扩散项的BAM神经网络的全局指数稳定性和周期解的存在。早期的结果得到扩展和改进,并给出了一个说明性的例子来证明本文结果的有效性。 (c)2006 Elsevier Ltd.保留所有权利。

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