基于动态神经网络的基坑支护桩水平位移预测

Prediction of Horizontal Displacement of Foundation Pit Supporting Pile Based on Dynamic Neural Network

采用Matlab基于Bayesian Regularization算法建立动态神经网络模型,对基坑支护桩顶面位移进行变形分析。通过实测数据对比分析:利用动态神经网络对基坑支护桩水平位移监测数据进行预测,预测精度较高,方法可行。

The dynamic neural network model is established by Matlab based on Bayesian Regularization algorithm to analyze the displacement of the top surface of foundation pit supporting pile. Through the comparative analysis of the measured data: the dynamic neural network is used to predict the horizontal displacement monitoring data of foundation pit supporting pile. The prediction accuracy is high and the method is feasible.