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可靠性分析在边坡灰色聚类问题中的应用
引用本文:杨枭,李朋,肖盛燮.可靠性分析在边坡灰色聚类问题中的应用[J].重庆交通大学学报(自然科学版),2011,30(4):778-781,838.
作者姓名:杨枭  李朋  肖盛燮
作者单位:1. 重庆交通大学防灾减灾工程研究所,重庆,400074
2. 西南交通大学土木工程学院,四川成都,610031
基金项目:国家自然科学基金项目(50879097);重庆市国土资源和房屋管理局科技计划项目(渝国土房管科字2008年801号)
摘    要:选取了“过程降雨量”与“最大地震震级”作为可靠性分析的目标因素,将其可靠度引入到传统BP神经网络预测边坡灰色聚类问题的方法中,将5个典型边坡中的3个作为预测样本,对其余2个进行分析,得到了2个目标因素单独作用于边坡时边坡的可靠度以及在选取的9个因素共同作用下较精确的预测结果.

关 键 词:可靠性  滑坡  灰色聚类问题  预测

Application of Reliability Analysis in Grey Cluster Slope
YANG Xiao,LI Peng,XIAO Sheng-xie.Application of Reliability Analysis in Grey Cluster Slope[J].Journal of Chongqing Jiaotong University,2011,30(4):778-781,838.
Authors:YANG Xiao  LI Peng  XIAO Sheng-xie
Institution:1 (1.Research Institute of Disaster Prevention & Mitigation Engineering,Chongqing Jiaotong University,Chongqing 400074,China; 2.College of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,Sichuan,China)
Abstract:The process rainfall and the greatest magnitude were selected as the essential decisive factors of reliability analysis.The reliabilities of these two factors were introduced to the traditional BP neural network to forecast the grey cluster problems of slope.Two typical samples of the five typical slope,were analyzed while the other three were selected as prediction samples.By analysis,the reliability of slope when the two decisive factors acted on the slope separately and the accurate forecast results which are subjected to the nine selected factors can be provided as references for the slope engineering.
Keywords:reliability  slide  grey cluster problems  prediction
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