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将机器学习应用于磷灰石成分以确定成矿潜力

IF 2.2 2区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS
Elements Pub Date : 2024-01-01 DOI:10.2138/am-2023-9115
Yu-yu Zheng, Bo Xu, David R. Lentz, Xiao-yan Yu, Zeng-qian Hou, Tao Wang
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Machine Learning Applied to Apatite Compositions for Determining Mineralization Potential
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来源期刊
Elements
Elements 地学-地球化学与地球物理
CiteScore
7.20
自引率
0.00%
发文量
1
审稿时长
>12 weeks
期刊介绍： Elements is an international magazine of mineralogy, petrology, and geochemistry. Published bimonthly, every issue explores a theme of broad and current interest. Elements publishes invited peer-reviewed articles for each thematic collection of papers. Topics of interest can be proposed to the editors who will review every proposal submitted. Elements also presents regular features including a opinion articles, calendar of events, short course announcements, awards, conference reports, policy news, as well as news of the 18 participating societies.
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