| 改进的KNN-SMOreg算法及在铀矿床典型蚀变矿物赤铁矿含量预测中的应用 |
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| 引用本文： | 吴佳,蔡之华,高哲超. 改进的KNN-SMOreg算法及在铀矿床典型蚀变矿物赤铁矿含量预测中的应用[J]. 应用基础与工程科学学报, 2011, 19(5): 842-851. DOI: 10.3969/j.issn.1005-0930.2011.05.017 |
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| 作者姓名： | 吴佳 蔡之华 高哲超 |
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| 作者单位： | 中国地质大学计算机学院,湖北武汉,430074 |
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| 基金项目： | 国家高技术研究发展(863)计划，教育部博士点基金 |
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| 摘 要： | 赤铁矿作为铀矿床蚀变带中一种典型的蚀变矿物,在铀矿勘测过程中具有十分重要的指矿作用.传统的建模方法都以同样的概率来处理每个特征参数的重要性,但在实际建模过程中各个参数的重要性是有差别的,忽略此因素会直接影响赤铁矿预测的精度.针对此问题,本文提出一种基于属性关联的加权K近邻和支持向量机的新混合模型WKNN-SMOreg,...
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| 关 键 词： | 属性关联 属性加权 光谱吸收特征参数 铀矿床 赤铁矿 预测 |
Improved KNN-SMOreg Algorithm and Its Application in Predicting the Amount of Hematite from Uranium |
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| WU Jia,CAI Zhihua,GAO Zhechao. Improved KNN-SMOreg Algorithm and Its Application in Predicting the Amount of Hematite from Uranium[J]. Journal of Basic Science and Engineering, 2011, 19(5): 842-851. DOI: 10.3969/j.issn.1005-0930.2011.05.017 |
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| Authors: | WU Jia CAI Zhihua GAO Zhechao |
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| Affiliation: | WU Jia,CAI Zhihua,GAO Zhechao (School of Computer,China University of Geosciences,Wuhan 430074,China) |
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| Abstract: | Hematite,as a typical alteration mineral,plays a very important role in uranium exploration.Traditional modeling method usually treats every feature with the same probability.However,this does not hold in many real world applications,which may also cause the reduction of the accuracy of prediction.We propose a novel method called WKNN-SMOreg,which weights the features according to the association of their attributes on the hybrid of KNN and SMOreg.In this way,the error caused by the features with lower asso... |
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| Keywords: | attribute association attribute weighting spectral absorption feature parameters uranium deposit hematite prediction |
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