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变时滞随机Cohen-Grossberg神经网络的几乎肯定指数稳定性
Almost Sure Exponential Stability of Stochastic Cohen-Grossberg Neural Network with Time Varying Delays
【摘要】 通过构造Lyapunov泛函、利用半鞅收敛定理得到了变时滞随机Cohen-Grossberg神经网络几乎肯定指数稳定的判别准则.
【Abstract】 Some stabilities of stochastic Cohen-Grossberg neural networks were studied.Under the help of Lyapunov functional and the semimartingale convergence theorem,we obtained some sufficient criteria to check the almost sure exponential stability of stochastic Cohen-Grossberg neural network with time varying delays.
【关键词】 随机神经网络;
时滞;
Itö公式;
稳定性;
【Key words】 stochastic neural networks; delays; Itö formula; stability;
【Key words】 stochastic neural networks; delays; Itö formula; stability;
- 【文献出处】 经济数学 ,Journal of Quantitative Economics , 编辑部邮箱 ,2013年01期
- 【分类号】O175
- 【被引频次】2
- 【下载频次】47