Robust Feature Extraction for Geochemical Anomaly Recognition Using a Stacked Convolutional Denoising Autoencoder

Xiong, YH; Zuo, RG

Zuo, RG (corresponding author), China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Wuhan 430074, Peoples R China.

MATHEMATICAL GEOSCIENCES, ; ():

Abstract

Deep neural networks perform very well in learning high-level representations in support of multivariate geochemical anomaly recognition. Geochemical ......

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