水中悬浮隧道施工风险分析的BP神经网络模型

BP Neural Network Model on Risk Analysis of Floating Tunnel Construction

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。

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.