人工神经网络
变形(气象学)
基础(证据)
系列(地层学)
阶段(地层学)
过程(计算)
工程类
发掘
计算机科学
结构工程
人工智能
岩土工程
地质学
地理
海洋学
操作系统
古生物学
考古
作者
Jing Cao,Wen Yun Ding,Dang Shu Zhao,Hai Ming Liu
出处
期刊:Applied Mechanics and Materials
[Trans Tech Publications, Ltd.]
日期:2014-05-01
卷期号:556-562: 5979-5983
被引量:6
标识
DOI:10.4028/www.scientific.net/amm.556-562.5979
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.
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