| 人工神经网络在隧道地表变形预测中的应用 |
| |
| 引用本文： | 王穗辉,潘国荣.人工神经网络在隧道地表变形预测中的应用[J].同济大学学报(自然科学版),2001,29(10):1147-1151. |
| |
| 作者姓名： | 王穗辉 潘国荣 |
| |
| 作者单位： | 同济大学测量与国土信息工程系, |
| |
| 摘 要： | 借助于神经网络方法处理非线性问题的优势，采用改进后的B－P网络算法，对上海地铁2号线盾构推进中隧道上方的地表变形作了趋势预报，并与其它预测方法作了比较。结果表明：将人工神经网络用于地表变形预测，效果优于其他方法。
|
| 关 键 词： | 人工神经网络 地铁隧道 变形预报 |
| 文章编号： | 0253-374(2001)10-1147-05 |
| 修稿时间： | 2000年11月16 |
Applying Theory of Artificial Neural Network to Deformation Prediction of Ground Deformation During Tunnel Excavation |
| |
| WANG Sui-hui,PAN Guo-rong.Applying Theory of Artificial Neural Network to Deformation Prediction of Ground Deformation During Tunnel Excavation[J].Journal of Tongji University(Natural Science),2001,29(10):1147-1151. |
| |
| Authors: | WANG Sui-hui PAN Guo-rong |
| |
| Abstract: | With the advantage of neural network in nonlinear problem,the author used an improved algorithm of B-P network to predict the ground deformation during the tunnel excavation in the second route of Shanghai Subway.Compared with other prediction methods,the theory of artificial neural network used to predict ground deformation is better than others. |
| |
| Keywords: | neural network subway tunnel deformation forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
