HIGHLIGHTS
- who: Hua Deng et al. from the Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China have published the Article: 3D Inversion of Magnetic Gradient Tensor Data Based on Convolutional Neural Networks, in the Journal: Minerals 2022, 566 of /2022/
- what: In this paper a 3D magnetic gradient (MGT) inversion method is developed using a neural network (CNN) to automatically predict physical parameters from the 2D images of MGT. From the numerical model study and the field validation the authors demonstrate the capability of using CNNs for inversing MGT The aim of this . . .
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