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离散Hopfield神经网络的稳定性是网络应用的基础 .文中主要研究非对称离散Hopfield神经网络的异步、同步、部分同步演化方式的稳定性 ,并给出了一些新的稳定性条件 ,所获结果推广了一些已有的结论 .
The stability of discrete Hopfield neural network is the basis of network application. In this paper, the stability of asynchronous, synchronous and partially synchronous evolution of asymmetric discrete Hopfield neural networks is studied. Some new stability conditions are given. The results are generalized Some existing conclusions.