Effects of misclassification costs on mapping mineral prospectivity

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• 作者：Yihui Xiong ; Renguang Zuo ; ^{zrguang@cug.edu.cn}
• 关键词：Mineral prospectivity mapping ; Cost-sensitive learning ; Artificial neural network ; Cross validation ; Skarn-type iron deposits
• 刊名：Ore Geology Reviews
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：82
• 期：Complete
• 页码：1-9
• 全文大小：4184 K
• 卷排序：82

文摘

The effects of misclassification costs on mapping mineral prospectivity are explored. Comparison of methods demonstrates that the cost sensitive neural network is useful for mapping mineral prospectivity. The method is applied to map Fe polymetallic prospectivity in SFMB.