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

STABILITY IN LAGRANGE SENSE FOR A CLASS OF STOCHASTIC STATIC NEURAL NETWORKS WITH MIXED TIME DELAYS
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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. 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.
机构地区 Dept.of Math.
出处 《Annals of Differential Equations》 2014年第2期184-190,共7页 微分方程年刊(英文版)
基金 supported by the National Natural Science Foundation of China(11171374) Natural Science Foundation of Shandong Province(ZR2011AZ001)
关键词 stochastic static neural network stochastic analysis mixed time delays Lagrange stability Lyapunov functional stochastic static neural network stochastic analysis mixed time delays Lagrange stability Lyapunov functional
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