| 基于SVM的露天矿爆堆矿石质量预测研究 |
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| 引用本文： | 董成龙.基于SVM的露天矿爆堆矿石质量预测研究[J].有色金属(矿山部分),2015,67(2):97-99. |
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| 作者姓名： | 董成龙 |
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| 作者单位： | 新疆地质矿产勘查开发局第十一地质大队 |
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| 摘 要： | 露天矿采场的矿石质量数据的准确程度是输出矿石能否均匀和稳定的前提和保证。根据台阶爆破的抛掷理论,利用支持向量机(SVM)预测露天矿采场爆堆的矿石质量,既可及时、准确地预测出爆堆矿石质量情况,又可减轻人工爆堆取样的劳动强度。
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| 关 键 词： | 支持向量机 露天矿 爆堆 矿石质量 预测 |
| 收稿时间： | 2014/11/7 0:00:00 |
| 修稿时间： | 2014/11/17 0:00:00 |
Study on predicting the ore quality of blasting muckpile in open pit mine based on SVM |
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| Authors: | DONG Chenglong |
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| Affiliation: | DONG Chenglong;No.11Geological Party,Bureau of Geology and Mineral Exploration and Development of Xinjiang; |
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| Abstract: | The precision of ore quality in open pit mine is the precondition and guarantee of the evenness and stability of output ore. Based on the throwing theory of bench blasting and using the Support Vector Machine(SVM) to forecast the ore quality of blasting muckpile in open pit mine, the result not only can nicely predict the quality distribution of blasted ore piles in time, but also lighten the labor intensity of manual blasting muckpile sampling. |
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| Keywords: | SVM open pit mine blasting muckpile ore quality prediction |
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