为了分析软地基的沉降规律,以某个高速公路的工程为例,利用BP神经网络对该工程的软土地基沉降数据进行拟合和优化分析。结果表明,使用BP神经网络方法对软土地基的沉降预测值合理,其精度优于一维固结理论方法,BP神经网络方法能成为有效预测软地基沉降数据的方法。
To analyze the rules of soft subgrade settlement,the BP neural network was used to stimulate and optimize the settlement data of one highway project.The analysis results show that the BP neural network method is rational and more accurate than the one-dimensional consolidation theory,which proves that the BP neural network is an effective method to predict the settlement of soft subgrade.