Soft Ground Subsidence Prediction of Highway Based on the BP Neural Network

摘要：

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.

关键词： soft ground foundation subsidence prediction artificial neural network.

作者: Xu Lei Zhang Zhen Ye Sheng Lu Guilin

作者单位: School of Mechanics and Civil Engineering China University of Mining and Technology Xuzhou(221008), Jiangsu, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 445-447

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）