ASYMPTOTIC BEHAVIOR OF DELAY DISCRETETIME NEURAL NETWORKS WITH CRITICAL THRESHOLD

• 作者: LiuKaiyu ZhangHongqiang
• 来源期刊: 微分方程年刊：英文版
• 学科: 工学
• 关键词: 渐近性质 迟滞微分方程 离散-时间系统 人工神经网络
• 年，卷（期）: 2005,（2）
• 页码范围: 223-228
• 页数: 6页
• 分类号: TP183

摘要

This paper is concerned with a delay discrete-time system arising as a discrete-time network of two neurons with McCulloch-Pitts nonlinearity. We obtain the asymptotic behaviors of the solutions of the system for some cases.The results obtained improve and extend the corresponding results established recently by Zhou, Yu and Huang [1].