The Application of BP Neural Network in Cable-Stayed Bridge Construction Monitoring

Predictions on elevation changes of the Xin River Cable-stayed Bridge were made using the BP neural network algorithm, which is the nonlinear relationship between the input parameters and output parameter. The analysis used the factors which affect the girder segment elevation changes as input samples and which measured the elevation changes as output samples in the training of the BP neural network. The results show that the application of BP neural network in the construction monitoring of large cable-stayed bridges is feasible.