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基于RS-GP模型的边坡安全系数预测
引用本文:翟淑花,吴爱祥,高谦,张梅花,董璐.基于RS-GP模型的边坡安全系数预测[J].北京科技大学学报,2011,33(1):6-10.
作者姓名:翟淑花  吴爱祥  高谦  张梅花  董璐
作者单位:翟淑花,ZHAI Shu-hua(北京科技大学土木与环境工程学院,北京,100083;北京科技大学金属矿山高效开采与安全重点实验室,北京,100083);吴爱祥,高谦,WU Ai-xiang,GAO Qian(北京科技大学土木与环境工程学院,北京,100083;北京科技大学金属矿山高效开采与安全教育部重点实验室,北京,100083);张梅花,董璐,ZHANG Mei-hua,DONG Lu(北京科技大学土木与环境工程学院,北京,100083)
摘    要:鉴于边坡系统影响因素之间的高度非线性和不确定性,融合RS-GP模型的优势,提出了依据边坡稳定性影响因素类比计算边坡安全系数的方法.该方法通过学习样本的数据特征分析、计算属性的重要性及约简规则,降低了遗传规划预测模型的结构规模.人工神经网络(ANN)模型与RS-GP模型计算结果比较表明:该方法具有计算速度快、容错能力强及精度高等特点.

关 键 词:边坡稳定  安全系数  粗糙集理论  遗传规划

Prediction of slope safety factor based on the RS-GP model
ZHAI Shu-hua,WU Ai-xiang,GAO Qian,ZHANG Mei-hua,DONG Lu.Prediction of slope safety factor based on the RS-GP model[J].Journal of University of Science and Technology Beijing,2011,33(1):6-10.
Authors:ZHAI Shu-hua  WU Ai-xiang  GAO Qian  ZHANG Mei-hua  DONG Lu
Institution:ZHAI Shu-hua1,2),WU Ai-xiang1,GAO Qian 1,ZHANG Mei-hua1),DONG Lu1)1)School of Civil and Environmental Engineering,University of Science and Technology Beijing,Beijing 100083,China2)Key Laboratory of the Ministry of Education of China for High-Efficient Mining and Safety of Metal Mines,China
Abstract:Considering the high nonlinearity and uncertainty of influence factors in a slope system and making full use of the advantages of the rough set theory and genetic programming(RS-GP model),a novel method based on the influencing factors of slope stability was brought up to calculate the safety factor of a slope.This method can reduce the structure scale of a genetic programming prediction model by analyzing the data characteristics of learning samples,calculating the significance of attributes and reducing r...
Keywords:slope stability  safety factor  rough set theory  genetic programming  
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