基于BP神经网络的深基坑沉降预测

Settlement prediction in deep foundation pit based on BP neural network

为了分析深基坑的沉降规律,以某实际工程为例,利用BP神经网络对该工程的深基坑沉降数据进行拟合和预测分析,采用C语言编写程序进行预测。结果表明,利用BP神经网络方法的预测结果合理,误差在允许范围内,满足工程要求,并且对类似的工程施工具有指导作用。

In order to analyze the settlement law of deep foundation pit,the settlement data of a practical project are taken to be analyzed and predicted,and a software was developed based on C to predict the settlement process. The result shows that the method of prediction based on BP neural network is feasible,the error is within the allowable range. The method of prediction can guide the construction of similar project.