| 人工神经网络方法与鲁西金伯利岩物化探异常筛选 |
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| 引用本文： | 刘天佑,师学明,潘玉玲,王兴昌,李荣锡,曹秀华.人工神经网络方法与鲁西金伯利岩物化探异常筛选[J].现代地质,1998,12(4):598-602. |
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| 作者姓名： | 刘天佑 师学明 潘玉玲 王兴昌 李荣锡 曹秀华 |
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| 作者单位： | 山东省地质矿产局 |
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| 基金项目： | 地质矿产部地质调查局定向研究项目 |
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| 摘 要： | 分析对比了传统模式识别方法（贝叶斯，费舍尔方法）与人工神经网络方法的应用效果，根据已有的地球物理资料，结合金刚石原生矿的成因模式，从金伯利岩产出的地质环境、指示矿物、地球物理和地球化学异常等方面提取了２０种用于识别金伯利岩物化探异常的特征，运用人工神经网络方法对鲁西地区１２×１０４ｋｍ２的物化探异常进行识别和筛选，从中选出了１０个一二类远景异常点供查证。
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| 关 键 词： | 人工神经网络 金伯利岩 物化探异常 鲁西 |
METHOD OF ARTIFICIAL NEUTRAL NETWORK AND SIEVING OF GEOPHYSICAL AND GEOCHEMICAL ANOMALY OF KIMBERLITE IN LUXI |
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| Liu Tianyou\ \ Shi Xueming\ \ Pan Yuling.METHOD OF ARTIFICIAL NEUTRAL NETWORK AND SIEVING OF GEOPHYSICAL AND GEOCHEMICAL ANOMALY OF KIMBERLITE IN LUXI[J].Geoscience——Journal of Graduate School,China University of Geosciences,1998,12(4):598-602. |
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| Authors: | Liu Tianyou\ \ Shi Xueming\ \ Pan Yuling |
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| Abstract: | The application effect of artificial neutral network is analysed and compared with that of traditional pattern recognition methods(Bayes method and Fisher method). According to the acquired geophysical data and the genetic model of diamond primary ore, 20 kinds of features, which have been taken out of such respects of kimberlite as geologic setting, index mineral, geophysical and geochemical anomalies etc. are applied to identify the geophysical and geochemical anomalies of kimberlite. And 12000 square kilometres geophysical and geochemical anomalies in Luxi area are identified and sieved by the method of artificial neutral network(BP,ART), from which 10 class one or class two prospective anomalous points are selected for examination. |
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| Keywords: | artificial neutral network kimberlite geophysical and geochemical anomalies Luxi area |
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