【摘要】 考虑了一个具有多重时变时滞的随机神经网络的全局渐近稳定性问题.通过构造Lyapunov-Krasovskii函数并运用广义Ito公式,得到了一个充分条件,条件保证了神经网络在随机扰动下的全局均方渐近稳定性.最后通过一个数值实例验证了结果的有效性.更多还原

【Abstract】 In this paper,we consider a class of problems with globally asymptotically stability for the multiple time-varying delays of the stochastic neural aetworks.By applying a Lyapunov-Krasovskii function and the generalized ltd formula,a sufficient condition obtained which guarantees the globally asymptotically stability for the stochastic perturbed neural networks.In the end,the stability criteria addressed can be verified the effectiveness of the result by the numerical example.更多还原