BP神经网络算法在长春地铁二号线地表沉降预测中的应用

Application of BP Neural Network Algorithm to Surface Settlement Prediction of Changchun Metro Line Two

地铁施工过程中地表沉降监测与预测对保障施工安全、优化工程设计具有重要的作用和意义。本文在分析BP神经网络算法的基础上,建立长春地铁二号线某标段地表沉降数据预测网络模型,用工程数据进行验证,验证结果表明,预测值与实测值拟合程度较高,可以通过预测值得出沉降规律,为地铁安全施工提供帮助。

The monitoring and forecasting of surface subsidence during the construction of subway has important effects and significance for ensuring construction safety and optimizing engineering design.In this paper,based on the analysis of BP neural network algorithm,the prediction network model of ground settlement data of a section of Changchun metro line two is established and verified with engineering data.The results show that the fitting degree of the predicted value and the measured value is high.It can be used to predict the settlement law and provide help for the subway safety construction.