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数据挖掘在岩质边坡稳定性预测中的应用
引用本文:张治强,蔡嗣经,马平波.数据挖掘在岩质边坡稳定性预测中的应用[J].北京科技大学学报,2003,25(2):103-105,146.
作者姓名:张治强  蔡嗣经  马平波
作者单位:1. 北京科技大学土木与环境工程学院,北京,100083
2. 东北大学资源与土木工程学院,沈阳,110006
基金项目:教育部博士后基金资助项目(No.13416)
摘    要:提出了一种预测岩土边坡稳定性的方法.利用数据挖掘的方法从边坡实例数据中挖掘出知识,在此基础上建立岩质边坡稳定性预测的智能模型系统.该系统可以根据获得的现场测试和监测资料,对边坡的稳定性进行较好的预测和估计.

关 键 词:岩质边坡  数据挖掘  岩土工程  稳定性预测  岩石力学  智能模型系统

Application of Data Mining to Predicting the Stability of Rock Slope
ZHANG Zhiqiang,CAI Sijing,MA Pingbo Civil and Environmental Engineering School,University Science and Technology Beijing,Beijing ,China School of Resource & Civil Engineering,Northern University,Shenyang ,China.Application of Data Mining to Predicting the Stability of Rock Slope[J].Journal of University of Science and Technology Beijing,2003,25(2):103-105,146.
Authors:ZHANG Zhiqiang  CAI Sijing  MA Pingbo Civil and Environmental Engineering School  University Science and Technology Beijing  Beijing  China School of Resource & Civil Engineering  Northern University  Shenyang  China
Institution:ZHANG Zhiqiang,CAI Sijing,MA Pingbo 1) Civil and Environmental Engineering School,University Science and Technology Beijing,Beijing 100083,China 2) School of Resource & Civil Engineering,Northern University,Shenyang 110006,China
Abstract:A method was proposed for assessing the stability of rock slope, of which the knowledge about the stability of rock slopes is extracted from data cases of rock slopes and the integrated intelligent system is built for assessment. The system can be used to predict and assess the stability of any rock slope with the information measured from the rock slope.
Keywords:data mining  rock slope  stability
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