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本文根据人工神经网络的系统辨识理论，充分发挥神经网络的强大学习功能和记忆联想功能，建立了动态系统的计算机仿真模型，对非线性动态系统和水工结构振动系统进行计算机仿真，仿真结果与理论计算值具有良好的一致性；建立流激振动系统的智能分析和预报模型，辨识高拱坝泄流激振等效荷载谱，预报乌江渡导墙结构在高速水流作用下的振动响应，取得了较为满意的结果．这项研究充分说明了人工神经网络技术在土木水利工程领域的应用价值和深远意义．
Based on the theory of system identification of artificial neural network, this paper gives full play to the powerful learning function and memory association function of neural network, and establishes the computer simulation model of dynamic system. The computer simulation of nonlinear dynamic system and hydraulic structural vibration system are carried out. The theoretical calculation values are in good agreement. The intelligent analysis and prediction model of flow vibration system is established. The equivalent excitation load spectrum of high arch dam is identified, and the vibration response of Wudi crossing structure under high velocity flow is predicted. The more satisfactory results. This study fully illustrates the application value and far-reaching significance of artificial neural network technology in civil engineering.