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Study on intelligent discrimination of tectonic settings based on global gabbro data from GEOROC
Jiao ShouTao1,2,3; Zhou YongZhang1,2,3; Zhang Qi4; Jin WeiJun4; Liu YanPeng1,2,3; Wang Jun1,2,3
2018
发表期刊ACTA PETROLOGICA SINICA
ISSN1000-0569
卷号34期号:11页码:3189-3194
摘要The study of discrimination diagrams began in the 1970s. The basalt tectonic environmental discriminant diagrams are the most commonly used in academic circles and have achieved very good results. With the accumulation of data, many scholars have gradually discovered the limitations of the discriminating diagrams and tried to establish new discrimination diagrams with better effect. The gabbro is an intrusive rock with a chemical composition similar to that of basalt. The predecessors thought that the formation process of gabbro was too complicated. The magma may have undergone fractional crystallization, mixing, hybridization, and it cannot be used to determine the tectonic setting formed by magmatic rocks. In this paper, the data mining of gabbro was studied using the data from the database of Geochemistry of Rocks of the Oceans and Continents (GEOROC), and three different algorithms of machine learning (Support Vector Machine, K Nearest Neighbor, and Random Forest) were used for gabbro. The intelligent discriminant research for tectonic settings, compared with the previous discrimination diagrams, has obtained a better discriminant effect. The random forest method has the best effect, and the judgment accuracy rate can reach 97%. Therefore, it is considered that the geochemical data of gabbro can be used to determine the tectonic setting of magmatic rocks. Based on the existing results, the random forest algorithm has the best effect.
关键词Gabbro Machine learning Data mining SVM Random forest GEOROC Python
关键词[WOS]VOLCANIC-ROCKS ; N-MORB ; CLASSIFICATION ; GEOCHEMISTRY ; DIAGRAMS
语种英语
WOS研究方向Geology
WOS类目Geology
WOS记录号WOS:000456929100004
出版者SCIENCE PRESS
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.iggcas.ac.cn/handle/132A11/90207
专题其他部门
通讯作者Jiao ShouTao
作者单位1.Sun Yat Sen Univ, Res Ctr Earth Environm & Resources, Guangzhou 510275, Guangdong, Peoples R China
2.Sun Yat Sen Univ, Sch Earth Sci & Engn, Guangzhou 510275, Guangdong, Peoples R China
3.Guangdong Prov Key Lab Geol Proc & Mineral Resour, Guangzhou 510275, Guangdong, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
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Jiao ShouTao,Zhou YongZhang,Zhang Qi,et al. Study on intelligent discrimination of tectonic settings based on global gabbro data from GEOROC[J]. ACTA PETROLOGICA SINICA,2018,34(11):3189-3194.
APA Jiao ShouTao,Zhou YongZhang,Zhang Qi,Jin WeiJun,Liu YanPeng,&Wang Jun.(2018).Study on intelligent discrimination of tectonic settings based on global gabbro data from GEOROC.ACTA PETROLOGICA SINICA,34(11),3189-3194.
MLA Jiao ShouTao,et al."Study on intelligent discrimination of tectonic settings based on global gabbro data from GEOROC".ACTA PETROLOGICA SINICA 34.11(2018):3189-3194.
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