基于决策树模型的岩爆烈度预测 |
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作者姓名: | 陈顺满 吴爱祥 王贻明 许梦国 |
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作者单位: | 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;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;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;北京科技大学土木与环境工程学院, 北京,100083,武汉科技大学资源与环境工程学院,湖北 武汉,430081 |
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基金项目: | “十二五”国家科技支撑计划项目(2012BAB08B02);教育部长江学者和创新团队发展计划项目(IRT0950). |
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摘 要: | 综合分析了岩爆的主要影响因素,选取岩石应力系数σ_θ/σ_c、岩石脆性系数σ_c/σ_t和弹性能量指数Wet作为评价指标,采用决策树方法进行岩爆烈度预测。以国内外比较典型的32个岩石地下工程实例作为基础样本数据,结合ID3算法建立了判定岩爆烈度的决策树模型。再选取15个工程实例,运用建立好的决策树模型对其岩爆烈度进行分级,并与实际岩爆等级以及采用模糊灰关联法、距离判别法、ν-SVR算法的评判结果进行对比。结果表明,本文提出的决策树方法具有计算简单、准确可靠、预测效率高的特点。
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关 键 词: | 岩爆 烈度 决策树 预测 地下工程 |
收稿时间: | 2016/1/22 0:00:00 |
Prediction of rockburst intensity based on decision tree model |
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Authors: | Chen Shunman Wu Aixiang Wang Yiming and Xu Mengguo |
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Institution: | Key Laboratory of High-efficiency Mining and Safety of Metal Mines of Ministry of Education, University of Science and Technology Beijing, Beijing 100083, China;School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083,China,Key Laboratory of High-efficiency Mining and Safety of Metal Mines of Ministry of Education, University of Science and Technology Beijing, Beijing 100083, China;School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083,China,Key Laboratory of High-efficiency Mining and Safety of Metal Mines of Ministry of Education, University of Science and Technology Beijing, Beijing 100083, China;School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083,China and College of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan 430081, China |
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Abstract: | |
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Keywords: | rockburst intensity decision tree prediction underground engineering |
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