| 神经网络在深基坑监测中的应用 |
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| 引用本文： | 张庆华,陈爱云.神经网络在深基坑监测中的应用[J].安全与环境工程,2004,11(2):55-58. |
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| 作者姓名： | 张庆华 陈爱云 |
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| 作者单位： | 中国地质大学环境学院,武汉,430074;铁道第四勘察设计院岩土处,武汉,430063 |
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| 摘 要： | 地铁车站等深基坑开挖施工中监测数据处理极其复杂，其经验多于理论。基坑工程施工中，对监测数据处理和分析，进而提取有价值的信息点是一个难题。因此，本文提出了神经网络的处理模型，采用BP网络的算法来训练网络，对某地铁车站的开挖监测进行了实例分析，可以看出该方法具有收敛速度快、精度高、实用性强等优点。
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| 关 键 词： | 神经网络 BP算法 训练 基坑监测 |
| 文章编号： | 1671-1556(2004)02-0055-04 |
| 修稿时间： | 2003年9月4日 |
Application of Neural Network to Monitoring of Foundation-Pit |
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| ZHANG Qing-hua,CHEN Ai-yun.Application of Neural Network to Monitoring of Foundation-Pit[J].Safety and Environmental Engineering,2004,11(2):55-58. |
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| Authors: | ZHANG Qing-hua CHEN Ai-yun |
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| Institution: | ZHANG Qing-hua1,CHEN Ai-yun2 |
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| Abstract: | The monitoring data analysis in foundation pit is quite complex and depends much on experience rather than on theory. How to analyze the monitoring data in foundation and then acquire valuable information is very difficult. In this paper, a mode of neural networks is proposed, and we use BP arithmetic to train the networks in this mode. By doing some research on the instance of Shenzhen subway station project, we can see that this mode convergences quickly and is very precise and practicable in monitoring the foundation-pit. |
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| Keywords: | neural networks BP arithmetic training monitoring of foundation-Pit |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
