Big Data Analytics of Identifying Geochemical Anomalies Supported by Machine Learning Methods

Renguang Zuo(China University of Geosciences), Yihui Xiong(Shanghai Jiao Tong University)
Natural Resources Research
October 22, 2017
10.1007/s11053-017-9357-0
Cited by 176

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
Recognition of geochemical anomalies using a deep autoencoder network
|Computers & Geosciences|2015|274
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