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.
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.
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. GEOLOGY AND RESOURCES, 2015, 24(2): 160-163.
2015, Vol. 24 
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