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BP神经网络在悬浮桩复合地基沉降预测中的应用
引用本文:汤梅芳,王炳龙.BP神经网络在悬浮桩复合地基沉降预测中的应用[J].华东交通大学学报,2006,23(2):15-18.
作者姓名:汤梅芳  王炳龙
作者单位:同济大学,道路与交通工程教育部重点实验室,上海,200092
基金项目:中国科学院资助项目 , 江苏省建设厅科研项目
摘    要:针对悬浮桩加固深厚层软土地基,提出了根据前期沉降观测资料进行沉降预测的BP神经网络模型.工程实例验证表明:该模型预测精度高,简便易行,可为今后的悬浮桩复合地基沉降预测和计算提供参考.

关 键 词:BP神经网络  沉降预测  复合地基  悬浮桩
文章编号:1005-0523(2006)02-0015-04
收稿时间:2006-01-13
修稿时间:2006年1月13日

BP Nervous Network Applied to Prediction of Settlement in Hanging Pile Composite Ground
TANG Mei-fang,WANG Bing-long.BP Nervous Network Applied to Prediction of Settlement in Hanging Pile Composite Ground[J].Journal of East China Jiaotong University,2006,23(2):15-18.
Authors:TANG Mei-fang  WANG Bing-long
Institution:Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 200092, China
Abstract:To solve the technical problem in settlement prediction of hanging pile composite ground,a new settlement prediction model according to the magnitude of the post-construction settlement is presented based on BP nervous network theory in this paper.The calculation results from an engineering example display that this method is more accurate and easier to be operated.It can be a reference to the forecast and calculation of settlement of hanging pile composite ground in the future.
Keywords:BP nervous network  predicting settlement  composite ground  hanging pile
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