西北师范大学学报(自然科学版)Issue(5):15-21,7.
时标上带有多重时滞的BAM神经网络的反周期解的存在性和指数稳定性
Existence and exponential stability of anti-periodic solution for a BAM neural networks with multiple time-delay on time scales
摘要
Abstract
By using the method of contraction mapping principle and Gronwall inequality theory , several sufficient conditions are established for the existence and global exponential stability of anti-periodic solutions for BAM neural network with delays on time scale T .关键词
反周期解/全局指数稳定/BAM神经网络/时标/多重时滞Key words
anti-periodic solution/global exponential stability/BAM neural network/time scales/multiple time-delay分类
数理科学引用本文复制引用
庞丽艳..时标上带有多重时滞的BAM神经网络的反周期解的存在性和指数稳定性[J].西北师范大学学报(自然科学版),2014,(5):15-21,7.基金项目
国家自然科学基金资助项目(11361046);宁夏自然科学基金资助项目(NZ13215);宁夏师范学院科研项目 ()