一类BAM神经网络的概周期解的存在性和指数收敛性被引量：1

The Existence and Global Exponential Convergence of Almost Periodic Solution of a Class BAM Neural Networks

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摘要利用不动点理论和推广的Halanay时滞微分不等式,研究一类双向联想记忆神经网络的概周期解的存在性和全局指数收敛性,给出其判定的充分性条件. The general sufficient conditions for existence and global exponential convergence of almost periodic solution of a class BAM neural networks are established by applying the theory of fixed point and extended Halanay differential inequality.

作者缪春芳柯云泉

机构地区绍兴文理学院数学系

出处《大学数学》北大核心 2007年第5期35-40,共6页 College Mathematics

基金浙江省自然科学基金(604003)

关键词双向联想记忆神经网络不动点理论微分不等式概周期解全局指数收敛性 hi-directional associative memory neural networks fixed point theory differential inequality almost periodic solution exponential convergence

分类号 O175.12 [理学—基础数学]

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