| 水中悬浮隧道施工风险分新的BP神经网络模型 |
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| 引用本文： | 李静,林祥金.水中悬浮隧道施工风险分新的BP神经网络模型[J].建筑管理现代化,2007(1):40-42. |
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| 作者姓名： | 李静 林祥金 |
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| 作者单位： | 大连理工大学,土木水利学院,辽宁,大连,116023 |
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| 摘 要： | 基于BP神经网络理论模型,对水中悬浮隧道施工中各项风险指标进行辨识、量化和评价,进而对其施工总体风险进行分析,得到施工风险的量化参考指标,为水中悬浮隧道施工风险管理提供有效的风险分析工具。
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| 关 键 词： | 水中悬浮隧道 施工风险 施工风险分析 BP神经网络 模型 |
| 文章编号： | 1001-019X(2007)01-0040-03 |
| 修稿时间： | 2006-10-18 |
BP Neural Network Model on Risk Analysis of Floating Tunnel Construction |
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| LI Jing,LIN Xiang-jin.BP Neural Network Model on Risk Analysis of Floating Tunnel Construction[J].Construction Management Modernization,2007(1):40-42. |
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| Authors: | LI Jing LIN Xiang-jin |
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| Institution: | Department of civil engineering, Dalian University of Technology, Dalian 116023, China |
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| Abstract: | Based on Artificial Neural Network theory, the index of risk of submerged floating tunnel construction are distinguished, estimated and evaluated. The total risk of construction is analyzed to establish the quantity reference index system. It provides an effective tool for the risk management of submerged floating tunnel construction. |
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| Keywords: | floating tunnel risk of construction risk analysis BP neural network model |
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