Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Li, Quanke; Chen, Guoxiong; Luo, Lei (2023) Mineral prospectivity mapping using attention-based convolutional neural network. Ore Geology Reviews, 156. doi:10.1016/j.oregeorev.2023.105381

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleMineral prospectivity mapping using attention-based convolutional neural network
JournalOre Geology Reviews
AuthorsLi, QuankeAuthor
Chen, GuoxiongAuthor
Luo, LeiAuthor
Year2023 (May)Volume156
PublisherElsevier BV
DOIdoi:10.1016/j.oregeorev.2023.105381Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15764915Long-form Identifiermindat:1:5:15764915:6
GUID0
Full ReferenceLi, Quanke; Chen, Guoxiong; Luo, Lei (2023) Mineral prospectivity mapping using attention-based convolutional neural network. Ore Geology Reviews, 156. doi:10.1016/j.oregeorev.2023.105381
Plain TextLi, Quanke; Chen, Guoxiong; Luo, Lei (2023) Mineral prospectivity mapping using attention-based convolutional neural network. Ore Geology Reviews, 156. doi:10.1016/j.oregeorev.2023.105381
In(2023) Ore Geology Reviews Vol. 156. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Chen, Guoxiong; Huang, Ning; Wu, Guopeng; Luo, Lei; Wang, Detao; Cheng, Qiuming (2022) Mineral prospectivity mapping based on wavelet neural network and Monte Carlo simulations in the Nanling W-Sn metallogenic province. Ore Geology Reviews, 143. doi:10.1016/j.oregeorev.2022.104765
Li, Binbin; Yu, Zhengbo; Ke, Xijun (2023) One-dimensional convolutional neural network for mapping mineral prospectivity: A case study in Changba ore concentration area, Gansu Province. Ore Geology Reviews, 160. doi:10.1016/j.oregeorev.2023.105573
Cao, Changjie; Wang, Xiuliang; Yang, Fan; Xie, Miao; Liu, Bingli; Kong, Yunhui; Li, Cheng; Zhou, Zhongli (2025) Attention-driven graph convolutional neural networks for mineral prospectivity mapping. Ore Geology Reviews, 180. doi:10.1016/j.oregeorev.2025.106554
Liu, Zhankun; Yu, Shuyan; Deng, Hao; Jiang, Guipeng; Wang, Rongchao; Yang, Xiaoqi; Song, Jiaxuan; Chen, Jin; Mao, Xiancheng (2024) 3D mineral prospectivity modeling in the Sanshandao goldfield, China using the convolutional neural network with attention mechanism. Ore Geology Reviews, 164. doi:10.1016/j.oregeorev.2023.105861
Li, Tong; Zuo, Renguang; Zhao, Xinfu; Zhao, Kuidong (2022) Mapping prospectivity for regolith-hosted REE deposits via convolutional neural network with generative adversarial network augmented data. Ore Geology Reviews, 142. doi:10.1016/j.oregeorev.2022.104693
Chen, Yongliang; Wu, Wei (2017) Mapping mineral prospectivity using an extreme learning machine regression. Ore Geology Reviews, 80. doi:10.1016/j.oregeorev.2016.06.033
Sihombing, Felix M.H.; Palin, Richard M.; Hughes, Hannah S.R.; Robb, Laurence J. (2024) Improved mineral prospectivity mapping using graph neural networks. Ore Geology Reviews, 172. doi:10.1016/j.oregeorev.2024.106215
Yu, Zhengbo; Li, Binbin; Wang, Xingjie (2024) Mineral prospectivity mapping susceptibility evaluation based on interpretable ensemble learning. Ore Geology Reviews, 173. doi:10.1016/j.oregeorev.2024.106248
Li, Xiaohui; Xue, Chen; Chen, Yuheng; Yuan, Feng; Li, Yue; Zheng, Chaojie; Zhang, Mingming; Ge, Can; Guo, Dong; Lan, Xueyi; et al. (2023) 3D convolutional neural Network-based 3D mineral prospectivity modeling for targeting concealed mineralization within Chating area, middle-lower Yangtze River metallogenic Belt, China. Ore Geology Reviews, 157. doi:10.1016/j.oregeorev.2023.105444
Lv, Xiumei; Wang, Gongwen (2024) GIS-based mineral prospectivity mapping using machine learning methods: A case study from Duobaoshan ore district, northeastern China. Ore Geology Reviews, 175. doi:10.1016/j.oregeorev.2024.106352
Wang, Huimin; Xia, Qinglin; Zhou, Zhou; Lei, Li; Meng, Yaqi; Chen, Changliang; Gong, Yin; Yang, Peng (2025) Mineral prospectivity mapping of orogenic gold deposits using a mineral systems approach in the Huangling region, western Hubei. Ore Geology Reviews, 183. doi:10.1016/j.oregeorev.2025.106681
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 14, 2025 05:02:45
Go to top of page