BP网络在建筑物变形预报中的应用

APPLICATION OF BP ARTIFICIAL NEURAL NETWORK IN BUILDING DEFORMATION PREDICTION

为探索人工神经网络用于建筑物变形预报的可能性，采用BP网络代替传统的回归分析方法，处理变形观测数据．结果表明，当影响建筑物变形的因素较多，且各因素间存在非线性关系或关系不确定时，回归分析预报的结果存在较大偏差，BP网络有助于提高建筑物变形预报的精度．

In order to study the mpibility of artificial neural network used to predict building deformation, the observed deformtion data are processed by BP netwok instead of traditional regression method. When there are many factors influencing bnilding deformation, as well as there is norilinear or unfixed relationship among the factors,BP network can raise the accuracy of building deformation prediction.