| 基于数据挖掘技术的特高品位灰色灾变预测 |
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| 引用本文： | 卢才武,杨程.基于数据挖掘技术的特高品位灰色灾变预测[J].矿业研究与开发,2010(1):4-5,106. |
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| 作者姓名： | 卢才武 杨程 |
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| 作者单位： | 西安建筑科技大学; |
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| 摘 要： | 简述了矿床勘查中特高品位样品出现的原因和特高品位对矿体储量估算的影响,基于灰色系统理论和数据挖掘技术,建立了预测特高品位样品的灰色灾变模型,通过实例预测出现特高品位的范围仅相差1m,证明了该模型有效且可靠。
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| 关 键 词： | 矿床勘查 特高品位 储量估算 灰色灾变预测 |
Grey Catastrophic Prediction of Super-High Grade Based on Data Mining Technology |
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| Lu Caiwu and Yang Cheng.Grey Catastrophic Prediction of Super-High Grade Based on Data Mining Technology[J].Mining Research and Development,2010(1):4-5,106. |
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| Authors: | Lu Caiwu and Yang Cheng |
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| Affiliation: | Xi'an University of Architecture and Technology;Xi'an;Shanxi 710055;China |
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| Abstract: | This paper briefly introduces the reasons of appearance of super-high grade sample and and the influence of super-high grade on reserves evaluation in exploration of deposits.A grey catastrophic prediction model for the forecast of super-high grade sample was established based on grey system theory and data mining technology.The model has been proved quite effective and reliable by one example in which the forecasted location of super-high grade sample is only 1 meter away from the actual that. |
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| Keywords: | Exploration of deposits Super-high grade Reserves evaluation Grey catastrophic prediction |
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