Soft ground subsidence prediction of highway based on the BP neural network

We take BP artificial neural network and use soft ground foundation subsidence data of Ningsuxu highway to build model, and do the forecasts of soft ground subsidence final settlement, then comparing the predict results with curve-fitting hyperbola method, the curve method, three-point method forecast results. It turns out that neural network can avoid the human factors of interference from traditional methods, gaining high precision.