本文研究了具变时滞和脉冲的BAM神经网络模型.利用M矩阵理论、反证法,得到了脉冲时滞BAM神经网络平衡解的存在性、唯一性和全局指数稳定性成立的充分条件.一个数值例子证明的所得结论的有效性.
In this paper, a class of BAM neural networks with time-varying delays and impulses is studied. In terms of the M-matrix theory and reduction to absurdity, we present sufficient conditions which guarantee the existence, uniqueness and global exponential stability of the equilibrium point for the addressed neural networks. A numerical example is provided to illustrate the effectiveness of the obtained results.