自适应模糊神经网络在大坝安全监控中的应用

摘要

An adaptive fuzzy artificial neural network (AFANN) model for analysis of the observational data of dams is presented in this paper. An example is given of the analysis the horizontal displacement of a gravity dam with the AFANN model. The result shows that the prediction is more precise than that of the regression model.%将模糊理论和神经网络理论相结合，建立了一种自适应模糊神经网络模型，应用于大坝安全监控领域，并针对某一混凝土重力坝水平位移实测值建立自适应模糊神经网络监控模型.计算结果表明，其预报精度优于常规的统计回归模型.