中文摘要：

为确保基坑工程施工安全,提出用BP神经网络和MATLAB对基坑沉降观测数据进行处理,并预测变形大小。实例数据表明,通过预测变形值与实际变形值比较,可知BP神经网络的收敛速度较慢,训练时间较长,但预测精度较高,能满足工程精度的要求。

英文摘要：

In order to ensure the safety of foundation pit construction, the observation data of foundation pit subsid- ence are treated by BP neural network and MATLAB, and the deformation size is forecasted. The case data show that the convergence speed of BP neural network is slow and the training time is longer, but the prediction precision is higher, which can meet the requirement of engineering precision by comparing the predicted deformation value with the actual deformation value.