摘要
大型工程施工过程中的变形监测、分析与预报极为重要。变形分析建模的方法很多,神经网络技术的应用是其中之一。文中结合某深基坑工程的监测资料和工作经验,运用神经网络BP算法进行预测分析。简述BP神经网络的基本概念,介绍基坑变形分析的BP神经网络的具体模型结构,将神经网络方法预报结果与实测数据对比效果较好。该成果对生产实践具有参考价值。
It is very important for monitoring, analyzing and forecasting of the great engineering in construction. There are many methods used for analyzing the deformation, and the neural network method is one of them. According to the information and experience of a deep excavation project, the BP neural network method is used for predicting the deformation. In this paper, the basic concepts of BP neural networks are introduced briefly. And the model structure of BP algorithm used for forecasting the deformation of supporting system of deep excavation is discussed. After compared with the forecasting results and the observation data, the neural network method is preferable. It is provided with practice for the great engineering in construction.
出处
《测绘工程》
CSCD
2008年第3期37-39,42,共4页
Engineering of Surveying and Mapping
基金
江苏省测绘科研基金资助项目(JSCHKY200608)
关键词
神经网络
BP算法
基坑支护
变形分析
neural networks
algorithm of BP（Back Propagation）
supporting system
analyzing deformation
