本文采用人工神经元网络理论，对城市公路网络中的单元路段和桥梁的震害预测进行了探讨。在前人研究的基础上，提出了解决这一非确定性问题的一个有效的方法，对于深入研究生命线工程系统震害的规律具有普遍的意义，从而使我们有可能避免地震造成的破坏和最大限度地减小损失，为抗震减灾提供决策依据。 In this paper, the artificial neural network theory is used to discuss the seismic damage prediction of unit road sections and bridges in urban road network. On the basis of previous research, an effective method to solve this non-deterministic problem has been proposed. It has universal significance for the in-depth study of the laws of earthquake damage in the lifeline engineering system, so that we may be able to avoid the damage caused by the earthquake and the largest Minimize losses to provide decision-making basis for earthquake resistance and disaster reduction.