Soft Ground Subsidence Prediction of Highway Based on the BP Neural Network
We takeBP 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.
soft ground foundation subsidence prediction artificial neural network.
Xu Lei Zhang Zhen Ye Sheng Lu Guilin
School of Mechanics and Civil Engineering China University of Mining and Technology Xuzhou(221008), Jiangsu, China
国际会议
重庆
英文
445-447
2011-08-20(万方平台首次上网日期,不代表论文的发表时间)