Recognition of geochemical anomalies using a deep autoencoder network
Yihui Xiong(China University of Geosciences), Renguang Zuo(China University of Geosciences)
Cited by 274
Related Papers
Support vector machine: A tool for mapping mineral prospectivity
|Computers & Geosciences|2010|489
Deep learning and its application in geochemical mapping
|Earth-Science Reviews|2019|388
Fractal/multifractal modeling of geochemical data: A review
|Journal of Geochemical Exploration|2015|315
Identifying geochemical anomalies associated with Cu and Pb–Zn skarn mineralization using principal component analysis and spectrum–area fractal modeling in the Gangdese Belt, Tibet (China)
|Journal of Geochemical Exploration|2011|258
Application of singularity mapping technique to identify local anomalies using stream sediment geochemical data, a case study from Gangdese, Tibet, western China
|Journal of Geochemical Exploration|2008|226