烟台大学学报（自然科学与工程版）Issue(3)：157-161,5.DOI:10.13951/j.cnki.371213/n.2015.03.001
高阶脉冲变时滞BAM神经网络的周期解
Periodic Solution of Impulsive High-order BAM Neural Networks with Time-varying Delays
吴春雪1
作者信息
- 1. 烟台大学数学与信息科学学院，山东 烟台264005
- 折叠
摘要
Abstract
The information processing function of neural networks mostly reflects in its dynamic characteristics. The periodic solution problem is one of the most important parts in the research of neural network dynamic actions in many cases. It is necessary and practically valuable to consider the impulse effect of neural networks. In this pa-per, by using the continuation theorem of Mawhin’ s coincidence degree theory and differential inequalities, suffi-cient conditions are obtained for the existence of periodic solution of higher-order BAM neural networks with varia-ble delays and impulses under the requirement of boundedness of involved functions.关键词
重合度理论/BAM神经网络/周期解/脉冲Key words
coincidence degree/BAM neural network/periodic solution/impulse分类
数理科学引用本文复制引用
吴春雪..高阶脉冲变时滞BAM神经网络的周期解[J].烟台大学学报（自然科学与工程版）,2015,(3):157-161,5.
