Time Series Forecast of Foundation Pit Deformation Based on BP Neural Network

被引：3

作者：

Cao Jing ^{[1
]}

Ding Wenyun ^{[1
]}

Zhao Dangshu ^{[1
]}

Liu Haiming ^{[1
]}

机构：

[1] Kunming Univ Sci & Technol, Fac Civil Engn & Mech, Kunming 650500, Peoples R China

来源：

MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷

关键词：

foundation pit deformation; time series forecast; BP neural network; phase space reconstruction;

D O I：

10.4028/www.scientific.net/AMM.556-562.5979

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Combined with the advantage of BP neural network, a time series forecast method of foundation pit deformation based on BP neural network is proposed. According to the excavation process of foundation pit, the deformation forecast model is built by analyzing the measured data of early working stage. Then, the model is used to forecast the deformation of later working stage. Through an engineering optimization example, it is showed that this method is not only efficient, but also with good economic and practical value.

引用

页码：5979 / 5983

页数：5