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中文摘要：
研究了具分布时滞的广义Cohen—Grossberg神经网络的动态性质．运用非线性测度和构造Lyapunov函数，获得了神经网络系统存在唯一平衡点且平衡点全局指数稳定的一个充分条件．这个条件与时滞无关．最后，给出了一个实例说明所得结论的有效性．
英文摘要：
The dynamics is studied for generalized Cohen - Grossberg neural networks with distributed delays. By means of the nonlinear measure approach and constructing a Lyapunov function, a sufficient condition is obtained for the existence anduniqueness of an equilibrium point of this equations, which of the equilibrium point is global exponential stability. This condition is independent of the delays. Finally, an illustrative examples is given to show the effectiveness of the presented criteria.
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