| 支持向量机在地球化学勘查中的应用 |
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| 引用本文： | 张振庭,王忠文,马艳英,王淼.支持向量机在地球化学勘查中的应用[J].世界地质,2010,29(1):78-82. |
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| 作者姓名： | 张振庭 王忠文 马艳英 王淼 |
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| 作者单位： | 1. 吉林大学,综合信息矿产预测研究所,长春,130026
2. 吉林大学,综合信息矿产预测研究所,长春,130026;吉林工程技术师范学院,长春,130052 |
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| 基金项目： | 全国金银矿产资源潜力评价及汇总项目 |
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| 摘 要： | 将K均值聚类和v -SVM结合, 推出一种改进的分类方法。该方法根据指标的相关性, 构建了具有强分辨能力的分类模型, 并将模型应用于内蒙某地勘查地球化学研究, 查明了所研究元素之间的相似性, 建立了v - SVM分类机, 实现了组合异常的圈定。
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| 关 键 词： | 支持向量机 K均值聚类 组合异常 |
Application of support vector machine in geochemical exploration |
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| ZHANG Zhen-ting,WANG Zhong-wen,MA Yan-ying,WANG Miao.Application of support vector machine in geochemical exploration[J].World Geology,2010,29(1):78-82. |
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| Authors: | ZHANG Zhen-ting WANG Zhong-wen MA Yan-ying WANG Miao |
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| Institution: | 1. Research Institute of Synthetic Information Mineral Resources Prediction, Jilin University, Changchun 130026, China; 2. Jilin Teachers Institute of Engineering and Technology, Changchun 130052, China |
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| Abstract: | The combination of K-means clustering and v -SVM gives a improved classified method which built a classified model with strong ability to distinguish based on the correlation. The model is applied in the exploration geochemical research in some places of Inner Mongolia, it which made clear in the similarity among the studied elements, and established v -SVM classifier to realize the delineation of combination anomaly. |
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| Keywords: | support vector machine K-means clustering combination anomaly |
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