Deformation Prediction of a Deep Foundation Pit Based on the Combination Model of Wavelet Transform and Gray BP Neural Network

Liu Qiang; Yang Chun-Yan; Lin Li

首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Deformation Prediction of a Deep Foundation Pit Based on the Combination Model of Wavelet Transform and Gray BP Neural Network

【24h】

Deformation Prediction of a Deep Foundation Pit Based on the Combination Model of Wavelet Transform and Gray BP Neural Network

机译：Deformation Prediction of a Deep Foundation Pit Based on the Combination Model of Wavelet Transform and Gray BP Neural Network

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

The purpose of this study was to predict the deformation of a deep foundation pit based on a combination model of wavelet transform and gray BP neural network. Using a case of a deep foundation pit, a combination model of wavelet transform and gray BP neural network was used to predict the deformation of the deep foundation pit. The results show that compared with the traditional gray BP neural network model, the relative error of the combination model of wavelet transform and gray BP neural network was reduced by 2.38%. This verified that the combined model has high accuracy and reliability in the prediction of foundation pit deformation and also conforms to the actual situation of the project. The research results can provide a valuable reference for foundation pit deformation monitoring.

著录项

来源
《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2021年第50期|2161254.1-2161254.11|共11页
作者
Liu Qiang; Yang Chun-Yan; Lin Li;
展开▼
作者单位

Jimei Univ, Coll Harbour & Coastal Engn, Xiamen 361021, Peoples R China;

Fuzhou Univ, Coll Civil Engn, Fuzhou 350007, Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词

Deformation Prediction of a Deep Foundation Pit Based on the Combination Model of Wavelet Transform and Gray BP Neural Network

摘要

著录项

相关主题

期刊订阅