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给出了延迟离散Ｈｏｐｆｉｅｌｄ－型神经网络的动态特征，提出了新的异步运行规则，证明了非对称连接权阵条件下的收敛性定理，推广了已有的延迟离散Ｈｏｐｆｉｅｌｄ－型神经网络的收敛性结果．给出了能量函数的极大值点与延迟离散Ｈｏｐｆｉｅｌｄ－型神经网络的稳定态（不动点）的关系
The dynamic characteristics of delayed discrete-time Hopfield-type neural networks are given, and a new asynchronous operation rule is proposed. The convergence theorem of asymmetric connection weighted arrays is proved. The convergence of the existing delayed discrete Hopfield-type neural networks is generalized. Sexual result. The relationship between the maximum point of the energy function and the steady state (fixed point) of the discrete Hopfield-type neural network with delay is given