基于时间序列-BP神经网络在基坑方面的应用研究

Application Research of Foundation Pit Based on Time Series and BP Neural Network

随着城市经济的发展,城市内部出现很多深基坑工程,基坑的变形会威胁到周围建筑物的形变,因此,对基坑变形的研究变得尤为重要。时间序列和BP神经网络模型都是常见的监测数据处理方法,将时间序列模型与BP神经网络模型组合,对郑州某大型深基坑的沉降数据处理证明,组合模型得到的拟合精度要优于单纯的时间序列模型的建模精度。

With the development of the urban economy,many deep foundation pit projects occur in the city. The deformation of the foundation pit will threaten the deformation of the surrounding buildings. Therefore,the study on the deformation of the foundation pit becomes more and more important. Both the time series and the BP neural network models are Common monitoring data processing methods,the time series model and BP neural network model combination,through the settlement of a large deep foundation pit Zhengzhou data processing,the combined model to be better than the accuracy of the time series model modeling accuracy.