BP Neural Network Model on Risk Analysis of Floating Tunnel Construction
Xiangjin Lin · Construction Management Modernization · 2007
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.