Mineral Prospectivity Prediction Based on Self-Supervised Contrastive Learning and Geochemical Data: A Case Study of the Gold Deposit in the Malanyu District, Hebei Province, China-Reference-Cited by-同舟云学术

Mineral Prospectivity Prediction Based on Self-Supervised Contrastive Learning and Geochemical Data: A Case Study of the Gold Deposit in the Malanyu District, Hebei Province, China

Published:2024-05-21 Issue:4 Volume:33 Page:1377-1391
ISSN:1520-7439
Container-title:Natural Resources Research
language:en
Short-container-title:Nat Resour Res

Author:

Miao Qunfeng,Wang Pan,Zhao Hengqian^ORCID,Li Zhibin,Qi Yunfei,Mao Jihua,Li Meiyu,Tang Guanglong

Funder

Geological Research Project of the Hebei Bureau of Geology and Mineral Resources

Fundamental Research Funds for Central Universities

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11053-024-10335-3.pdf

Reference48 articles.

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5. Chen, G., Huang, N., Wu, G., Luo, L., Wang, D., & Cheng, Q. (2022). Mineral prospectivity mapping based on wavelet neural network and Monte Carlo simulations in the Nanling W–Sn metallogenic province. Ore Geology Reviews, 143, 104765.