陈明, 何凯, 王全明, Jacques Yvon. 地球化学场精细结构解析方案与应用[J]. 地质通报, 2004, 23(2): 147-153.
    引用本文: 陈明, 何凯, 王全明, Jacques Yvon. 地球化学场精细结构解析方案与应用[J]. 地质通报, 2004, 23(2): 147-153.
    CHEN Ming, HE Kaitao, WANG Quanming, Jacques YVON. An approach to the analysis of the fine structure of the geochemical field and its application in a gold exploration target district[J]. Geological Bulletin of China, 2004, 23(2): 147-153.
    Citation: CHEN Ming, HE Kaitao, WANG Quanming, Jacques YVON. An approach to the analysis of the fine structure of the geochemical field and its application in a gold exploration target district[J]. Geological Bulletin of China, 2004, 23(2): 147-153.

    地球化学场精细结构解析方案与应用

    An approach to the analysis of the fine structure of the geochemical field and its application in a gold exploration target district

    • 摘要: 为满足勘查地球化学对化探数据处理越来越精细的要求,把人工神经网络和统计分析结合起来形成地球化学场精细结构解析方案。该方案包括对地球化学样品的分类和对各类样品性质的详细研究,目的在于提供便捷的数学和计算机软件工具,以提取化探数据中的深层信息。可以用于:①研究各组样品中元素含量水平和组合特征以解释可能的矿种;②研究元素组合特征与指示元素的关联和区别以揭示可能的成矿作用过程;③研究异常样品的空间组合属性以揭示地球化学场的精细结构;④研究异常样品之间的差异性以缩小找矿靶区;⑤综合分析以确定剥蚀深度和找矿前景。该方案也适用于环境地球化学及矿产资源预测研究。

       

      Abstract: In order to meet the demand for finer processing of geochemical data, an approach to the analysis of the fine structure of the geochemical field is designed, which combines the Kohonen artificial neural network with statistical algorithms. This approach i

       

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