| 基于径向基神经网络的基坑支护位移预测方法 |
| |
| 引用本文： | 李镜培,褚峰.基于径向基神经网络的基坑支护位移预测方法[J].地下空间与工程学报,2005,1(4):506-509. |
| |
| 作者姓名： | 李镜培 褚峰 |
| |
| 作者单位： | 同济大学岩土工程重点实验室,上海,200092;同济大学岩土工程重点实验室,上海,200092 |
| |
| 摘 要： | 简要分析了径向基神经网络相对于BP神经网络的优点,利用径向基神经网络建立了基坑支护水平位移的预测方法并编制了基于径向基神经网络的支护位移预测程序.结合实际工程监测数据中的基坑支护结构水平位移数据,对网络进行训练并利用训练好的网络对基坑支护结构的水平位移进行了预测.从预测结果与实测结果的对比分析来看,利用径向基神经网络对基坑支护水平位移进行预测是可行的,其精度符合工程实际的要求.
|
| 关 键 词： | 径向基神经网络 基坑 位移预测 |
| 文章编号： | 1673-0836(2005)04-0506-04 |
| 修稿时间： | 2005年4月20日 |
Displacements Prediction for the Support of Excavation by Radial Basis Function Neural Network Method |
| |
| LI Jing-pei,Chu Feng.Displacements Prediction for the Support of Excavation by Radial Basis Function Neural Network Method[J].Chinese Journal of Underground Space and Engineering,2005,1(4):506-509. |
| |
| Authors: | LI Jing-pei Chu Feng |
| |
| Abstract: | This paper interprets the advantage of Radial Basis Function(RBF) neural network over BP neural network. The principle of RBF neural network is briefly introduced. An approach is proposed to predict the horizontal displacements of the support during excavation by RBF neural network method. A program is made in Matlab language to predict the horizontal displacements of a project and comparison between the prediction results of neural network and observed data is proceeded. It is demonstrated that this method is feasible. |
| |
| Keywords: | RBF neural network excavation displacement prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
