Original paper
Recognizing multivariate geochemical anomalies for mineral exploration by combining deep learning and one-class support vector machine
Abstract
The recognition of multivariate geochemical anomalies is important for mineral exploration. Big data analytics, which involves the whole data and variables, is an alternative manner to delineate multivariate geochemical anomalies in support of machine learning algorithms due to their strong ability to capture the complex intrinsic and diverse links between geochemical characteristics and mineralization. However, this method faces the issue of...
Paper Details
Title
Recognizing multivariate geochemical anomalies for mineral exploration by combining deep learning and one-class support vector machine
Published Date
Jul 1, 2020
Journal
Volume
140
Pages
104484 - 104484
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