This paper mainly studies the convergence of asymmetric discrete Hopfield neural network in serial mode and gives some convergence conditions. If the weight matrix can be decomposed into the sum of a symmetric matrix with non-negative diagonal elements and a diagonally row ( column) dominant matrix, then the network is convergence in serial mode. The obtained results generalize the existing conclusions.