| 聚类分级和BP神经网络在自然崩落法矿岩可崩性分级中的应用 |
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| 引用本文： | 陈清运,蔡嗣经,明世祥,赵飞.聚类分级和BP神经网络在自然崩落法矿岩可崩性分级中的应用[J].化工矿产地质,2004,26(2):112-116. |
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| 作者姓名： | 陈清运 蔡嗣经 明世祥 赵飞 |
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| 作者单位： | 北京科技大学,北京,100083;武钢矿业公司设计研究所,湖北,黄石,435006;北京科技大学,北京,100083;武钢矿业公司乌龙泉矿,湖北,武汉,430074 |
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| 摘 要： | 以矿岩RQD、RMQ和RMR值为基础进行矿岩可崩性聚类综合分级,解决了同一地质测段分级结果的不一致性,明确了可崩性级别;利用样本中易测评判指标建立矿岩可崩性BP神经网络分析模型进行矿岩可崩性分级,解决了用钻孔资料进行矿岩可崩性分级精度不高的问题。程潮铁矿自然崩落法试验区段的矿岩可崩性分级表明矿岩可崩性属于极易一中等崩落,与生产实际相符,在生产中可应用该方法进行矿岩可崩性分级工作。
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| 关 键 词： | 自然崩落采矿法 矿岩可崩性 聚类分级 BP神经网络 程潮铁矿 |
| 文章编号： | 1006-5296(2004)02-0112-05 |
| 修稿时间： | 2004年2月24日 |
APPLICATION OF CLUSTER GRADING AND BP NEURAL NETWORK TO GRADING OF ORE ROCK CAVABILITY IN NATURAL CAVING SYSETM |
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| Chen Qingyun Cai Sijing Ming Shixiang Zhao Fei
Beijing University of Science &Technology,Beijing,China
Institute ofresearch and design,Company of mining of WISCO,Huangshi,Hubei,China
Wulongque mine,Company of mining of WISCO Wuhan,Hubei,China.APPLICATION OF CLUSTER GRADING AND BP NEURAL NETWORK TO GRADING OF ORE ROCK CAVABILITY IN NATURAL CAVING SYSETM[J].Geology of Chemical Minerals,2004,26(2):112-116. |
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| Authors: | Chen Qingyun Cai Sijing Ming Shixiang Zhao Fei
Beijing University of Science &Technology Beijing China
Institute ofresearch and design Company of mining of WISCO Huangshi Hubei China
Wulongque mine Company of mining of WISCO Wuhan Hubei China |
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| Institution: | Chen Qingyun Cai Sijing Ming Shixiang Zhao Fei
Beijing University of Science &Technology,Beijing,100083,China
Institute ofresearch and design,Company of mining of WISCO,Huangshi,Hubei,435006,China
Wulongque mine,Company of mining of WISCO Wuhan,Hubei,430074,China |
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| Abstract: | Based on ore rock RQD,RMD and RMR value to cluster grading of ore rock cavability, solve the same geology examine sections of hierarchical inconsistency of result ,confirm the rank of ore rock cavablity; Utilize sample apt to examine judging quota can set up the rank of ore rock cavablity by using BP neural network analysis ; solve the hierarchical precision problem of cavablity with bore informing. The grading results of ore rock cavability in Chengchao iron mine ore natural caving sysem test ore rock of sector indicate that ore rock cavablity belong to extremely apt-medium-sized caving , The result is in conformity with reality. |
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| Keywords: | natural caving system ore rock cavability cluster grading BP neural network application Chengchao iron mine |
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