Existence and Stability of Periodic Solutions for BAM Neural Networks with Time-Varying Delays and Impulses

被引：0

作者：

Wu, Chunxue ^{[1
]}

Shi, Bao ^{[1
]}

机构：

[1] Naval Aeronaut & Astronaut Univ, Inst Appl Math, Yantai 264001, Shandong, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 1, PROCEEDINGS | 2009年 / 5551卷

关键词：

BAM neural networks; periodic solutions; impulse; coincidence degree; delays; GLOBAL EXPONENTIAL STABILITY; SYNCHRONIZATION; STABILIZATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

By using the continuation theorem of Mawhin's coincidence degree theory, some new sufficient conditions are obtained for the existence and stability of periodic solution of BAM neural networks with variable delays and impulses, and without requirement of the bounded-ness of the activation functions.

引用

页码：472 / 481

页数：10

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