| 数据挖掘及其在矿业中的应用研究 |
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| 引用本文： | 李学锋,钟叔玉.数据挖掘及其在矿业中的应用研究[J].矿业研究与开发,2006,26(5):51-54. |
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| 作者姓名： | 李学锋 钟叔玉 |
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| 作者单位： | 广西大学,资源与环境学院,广西,南宁,530004;昆明理工大学,经济与管理学院,云南,昆明,650093 |
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| 摘 要： | 介绍了数据挖掘的概念及矿业中常用的数据挖掘模型,如神经网络模型、时间序列与周期分析模型、灰色模型等等。以对在某矿业公司选厂为研究对象,应用人工神经网络模型进行选矿效果指标预测,结果表明,预测值与实际的选矿效果指标值吻合良好。
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| 关 键 词： | 数据挖掘 神经网络模型 选矿指标 |
| 文章编号： | 1005-2763（2006）05-0051-04 |
| 收稿时间： | 2006-02-13 |
| 修稿时间： | 2006年2月13日 |
Study on Data Mining and Its Application in Mining Industry |
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| Li Xuefeng,Zhong shuyu.Study on Data Mining and Its Application in Mining Industry[J].Mining Research and Development,2006,26(5):51-54. |
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| Authors: | Li Xuefeng Zhong shuyu |
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| Affiliation: | 1. Faculty of Resource and Environment, Guangxi University, Nanning, Guangxi 530004,China; 2. Faculty of Management and Economics, Kunming University of Science and Technology,Kunming, Yunnan 650093, China |
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| Abstract: | This paper introduces the concept of data mining and their model usually used in mining industry,such as artificial neural network,schedule sequential and cycle analysis model,grey model,etc.Taking a certain ore-concentration plant as studied object,a BP model is applied to predict the concentration indexes,and the results indicate that the predicted concentration indexes are in well accordance with the practical production indexes. |
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| Keywords: | Data Mining ANN Model Concentration Index |
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