STABILITY IN LAGRANGE SENSE FOR A CLASS OF STOCHASTIC STATIC NEURAL NETWORKS WITH MIXED TIME DELAYS

• 作者: Jili Wang Linshan Wang
• 来源期刊: 微分方程年刊：英文版
• 学科: 数学
• 关键词: LYAPUNOV稳定性理论 静态神经网络 随机神经网络 拉格朗日 时滞 混合 随机分析 适用性
• 年，卷（期）: 2014,（2）
• 页码范围: 184-190
• 页数: 7页
• 分类号: O175

摘要

In this paper,the stability in Lagrange sense of a class of stochastic static neural networks with mixed time delays is studied.Based on the Lyapunov stability theory and with the help of stochastic analysis technique,the criteria for the stability in Lagrange sense of stochastic static neural networks with mixed time delays is obtained.One example is given to verify the advantage and applicability of the proposed results.