基于决策树的矿产资源潜力制图模型

文中提出了一种基于决策树的矿产资源潜力制图模型.应用该模型生成矿产资源潜力分布图分三步完成:第一步,以找矿标志的空间分布图和已知矿点空间分布图为依据,提取训练样本;第二步,根据训练样本构建决策树矿产资源潜力制图模型;第三步,生成矿产资源潜力分布图.本文以新疆北部阿尔泰多金属成矿带为研究区,比较了该模型与合成有矿可信度等模型的找矿靶区圈定结果.两种模型的靶区圈定结果基本相同,证明了决策树矿产资源潜力制图模型的有效性.

A decision tree model for mineral potential mapping

A new Decision Tree model for mineral resource potential mapping is proposed. In order to apply this new model, three-step procedure was needed as followed: the first step is to get training samples from study area ; the second step is to abstract the structure of spacial information of training samples and then to construct Decision Tree; the last step is to generate the distributive map of mineral resource potentials. In this paper, the model has been applied to predict multi-metallogenetic prospecting targets in the district from Duolanasayi to Ashele in northern XinJiang. The predicted targets by the model are compared with the C-F model. The two model results are very similar to each other, this prove that the new model is effective and practical.