Abstract

Bridge engineering risk research is an important part of bridge engineering management. This paper establishes the risk indicators system of bridge project, and then introduces BP neural network theory into bridge risk evaluation. By using the neural network toolbox of MATLAB, a risk assessment model of BP neural network is bulit. The validity and feasiblility of the risk evaluation model is verified by a practical example.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call