Machine learning on white mica short-wave infrared (SWIR) spectral data in the Tengjia Au deposit, Jiaodong peninsula (Eastern China): A prospecting indicator for lode gold deposits-Reference-Cited by-同舟云学术

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Machine learning on white mica short-wave infrared (SWIR) spectral data in the Tengjia Au deposit, Jiaodong peninsula (Eastern China): A prospecting indicator for lode gold deposits

Published:2024-10 Issue: Volume:173 Page:106230
ISSN:0169-1368
Container-title:Ore Geology Reviews
language:en
Short-container-title:Ore Geology Reviews

Author:

Hao Jiayao,Duan Liuan,Zhang Yu,Zhao Hongtao,Shao Yongjun,Guo Yuncheng,Wang Xu,Song Shuling

Publisher

Elsevier BV

Reference90 articles.

1. Decompression induced enrichment and precipitation of gold in the polymetallic sulfide stage of the northwest Jiaodong gold deposits, eastern North China Craton;Bao;Ore Geol. Rev.,2022

2. Biau, G. (2012). Analysis of a Random Forests Model. Journal of Machine Learning Research, 13, 1063-1095. ://WOS:000303773100007.

3. Random forests;Breiman;Mach. Learn.,2001

4. OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification;Bylesjö;J. Chemom.,2006

5. Decratonic gold mineralization: Evidence from the Shangzhuang gold deposit, eastern North China Craton;Cai;Gondw. Res.,2018

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