一类时滞BAM神经网络的全局渐近同步
Global Asymptotic Synchronization for a Class of BAM Neural Networks with Time Delays
DOI: 10.12677/AAM.2020.911240, PDF,   
作者: 李伟健：广东技术师范大学，数学与系统科学学院，广东 广州
关键词: BAM神经网络；时滞；全局渐近同步；Lyapunov泛函；BAM Neural Network； Time Delays； Global Asymptotic Synchronization； Lyapunov Functionals
摘要: 本文考虑一类时滞BAM神经网络系统的全局渐近同步问题。利用Lyapunov泛函和分析方法，给出了两个能够保证所考虑系统的全局渐近同步的充分判据，所得结果一定程度上比本文的主要参考文献有较为广泛的适应性。
Abstract: In this paper, the global asymptotic synchronization of a class of BAM neural networks with time delays is considered. By using the Lyapunov functionals and analytical methods, two sufficient criteria are given to ensure the global asymptotic synchronization of our system. To some extent, the present results are more feasible than the main reference in this paper.
文章引用：李伟健. 一类时滞BAM神经网络的全局渐近同步[J]. 应用数学进展, 2020, 9(11): 2075-2081. https://doi.org/10.12677/AAM.2020.911240

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