用小波神经网络预测深基坑周围地表的沉降量

Prediction of Ground Settlement Around Deep Foundation Pit by Using Wavelet Neural Networks

将小波神经网络应用于深基坑周围地表沉降的预测,提出了一种有效的预测方法,并构造了预测沉降的小波神经网络模型。预测结果表明,该方法收敛速度快、预测精度高,为预测深基坑周围地表沉降量的一种实用方法。

In this paper,wavelet neural networks are used for predicting the ground settlement around deep foundation pit. An effective predicting method is put forward,and set up the wavelet neural networks model for ground settlement prediction. The predicting result indicates that the model proposed here has fast approximation performance and high precision,which provide a valuable means for ground settlement prediction around deep foundation pit.