%0 Journal Article
%T A decision tree model for mineral potential mapping<br>基于决策树的矿产资源潜力制图模型
%A DAI Li-ming
%A CHEN Yong-liang
%A ZHOU Yong-gang
%A LIU Bo
%A LOU Da
%A <br>戴黎明
%J 地球物理学进展
%D 2009
%I 
%X 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.
%K Decision Tree model
%K C-F model
%K mineral resource potential<br>决策树模型
%K 合成有矿可信度模型
%K 矿产资源潜力制图
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=1E44AE713D8A6DE0&jid=65CE641AB2DEAAF8B2D39ECB6B6B6C80&aid=F0996EC5154969FB69C9D867B40651EE&yid=DE12191FBD62783C&vid=B91E8C6D6FE990DB&iid=38B194292C032A66&sid=5A9F0976AE79CB6F&eid=DE3C727FE2D9509D&journal_id=1004-2903&journal_name=地球物理学进展&referenced_num=2&reference_num=21