具时变时滞神经网络的周期解与稳定性分析

• 来源期刊: 微分方程年刊（英文版）
• 学科: 数学
• 关键词: neural networks periodic solutions stability
• 年，卷（期）: 2001,（4）
• 页码范围: 318-328
• 页数: 11页
• 分类号: O1
• 语种: 英文

摘要

In this paper, we establish some new sufficient conditions for the existence of penodic solutions and the global exponential stability of neural networks with time-varying delays by means of the method of variation of parameters and some analysis techniques.These conditions can be used to design globally exponentially stable and periodic oscillatory neural networks with time-varying delays. This work has important significance in both theory and applications. In addition, two examples are given to illustrate the theory.