Existence and exponential stability of anti-periodic solutions for interval general bidirectional associative memory neural networks with multiple delays

被引：0
作者：
Xiaofei Li
Deng Ding
Jianzhong Feng
Songbo Hu
机构：
[1] University of Macau,Faculty of Science and Technology
[2] Yangtze University,School of Information and Mathematics
[3] Wuhan University,School of Public Health
来源：
Advances in Difference Equations | / 2016卷
关键词：
bidirectional associative memory neural networks; anti-periodic solution; exponential stability; delay; 34C25; 34K13; 34K25;
D O I：
暂无
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摘要：
In this article, we will consider the a class of interval general bidirectional associative memory (BAM) neural networks with multiple delays. Based on the fundamental solution matrix of coefficients, inequality technique and Lyapunov method, we derive a series of sufficient conditions to ensure the existence and exponential stability of anti-periodic solutions of the neural networks with multiple delays. Our findings are new and complement some previously known studies.
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