首页 | 本学科首页   官方微博 | 高级检索  
     检索      

应用BP神经网络预测嵌岩桩竖向承载力的研究
引用本文:魏际兵,陈华兴,黄大勇,龙百画,陆冰洋.应用BP神经网络预测嵌岩桩竖向承载力的研究[J].地球与环境,2005,33(Z1):91-94.
作者姓名:魏际兵  陈华兴  黄大勇  龙百画  陆冰洋
作者单位:1. 贵州大学土木工程学院,贵州,贵阳,550003
2. 贵州省交通规划勘察设计研究院,贵州,贵阳,550001
摘    要:利用BP神经网络,建立了嵌岩桩竖向承载力预测的BP神经网络模型,采用嵌岩桩竖向承载力的实验数据对网络进行了训练,并以此训练好的BP神经网络对嵌岩桩承载力进行了预测。预测结果表明,该模型具有很高的预测精度,为预测嵌岩桩承载力提供了一种新的方法。

关 键 词:竖向承载力  预测  嵌岩桩  BP神经网络
文章编号:1672-9250(2005)增-0091-04
修稿时间:2005年5月26日

STUDY ON THE APPLICATION OF BP NERVE NETWORK TO PREDICTION OF VERTICAL BEARING CAPACITY OF AN INROCK-EMBEDDED PILE
WEI Ji-bing,CHEN Hua-xing,HUANG Da-yong,LONG Bai-hua,LU Bing-yang.STUDY ON THE APPLICATION OF BP NERVE NETWORK TO PREDICTION OF VERTICAL BEARING CAPACITY OF AN INROCK-EMBEDDED PILE[J].Earth and Environment,2005,33(Z1):91-94.
Authors:WEI Ji-bing  CHEN Hua-xing  HUANG Da-yong  LONG Bai-hua  LU Bing-yang
Institution:WEI Ji-bing,CHEN Hua-xing,HUANG Da-yong,LONG Bai-hua,LU Bing-yang 1. College of Civil Engineering,Guizhou University,Guiyang 550003,China , 2. Transportation Survey and Design Research Institute of Guizhou Province,Guiyang 55001,China
Abstract:This paper introduces the application of BP nerve network to the establishment of the model of in-rock-embedded pile verti-cal bearing capacity prediction and adopts the experiment data of in-rock-embedded pile to train BP nerve network which can predict the vertical bearing capacity of in-rock-embedded pile. The predicted results indicate that the model can gain high prediction precision, which provides a new way for the prediction of in-rock-embedded pile vertical bearing capacity
Keywords:vertical bearing capacity  prediction  in-rock-embedded pile  BP nerve network  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号