| 基于神经网络模型的金矿成矿远景预测——以白马山-龙山地区为例 |
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| 引用本文： | 陈坤,张建新.基于神经网络模型的金矿成矿远景预测——以白马山-龙山地区为例[J].地质与资源,2015,24(2):160-163. |
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| 作者姓名： | 陈坤 张建新 |
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| 作者单位： | 湖南省地质科学研究院, 湖南 长沙 410007 |
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| 基金项目： | 湖南省国土资源厅项目“湖南省白马山地区整装勘查区综合研究”（201003011）. |
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| 摘 要： | 白马山-龙山地区是湘中重要的金锑成矿带.以1∶20万水系沉积物检测数据为基础,结合区域地层、岩性、构造、岩浆岩等地质信息,在全区19 100 km2范围内以4 km2为评价单元,应用神经网络模型对区域金矿成矿远景进行预测,共划分了4个成矿远景区.
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| 关 键 词： | 水系沉积物 神经网络模型 金矿 成矿远景区 湖南省 |
| 收稿时间： | 2014-03-19 |
PREDICTION OF GOLD METALLOGENIC PROSPECT BASED ON THE NEURAL NETWORK MODEL:A Case Study of the Baimashan-Longshan Area in Hunan Province |
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| CHEN Kun,ZHANG Jian-xin.PREDICTION OF GOLD METALLOGENIC PROSPECT BASED ON THE NEURAL NETWORK MODEL:A Case Study of the Baimashan-Longshan Area in Hunan Province[J].Geology and Resources,2015,24(2):160-163. |
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| Authors: | CHEN Kun ZHANG Jian-xin |
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| Institution: | Hunan Institute of Geological Sciences, Changsha 410007, China |
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| Abstract: | The Baimashan-Longshan area is the significant metallogenic zone of gold and antimony in central Hunan Province. Based on the data of 1:200 000 stream sediment survey, in combination with the geological information of stratigraphy, lithology, structure and magmatite in this area, the neural network model is adopted to predict the regional gold metallogenic prospect. The whole area of 19 100 km2 is assessed by 4 km2 as evaluation unit. Then four metallogenic prospect areas are delineated. |
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| Keywords: | stream sediment neural network model gold deposit metallogenic prospect area Hunan Province |
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