Inverting Rayleigh surface wave velocities for crustal thickness in eastern Tibet and the western Yangtze craton based on deep learning neural networks

<p>Crustal thickness is an important factor affecting lithospheric structure and deep geodynamics. In this paper, a deep learning neural network based on a stacked sparse auto-encoder is proposed for the inversion of crustal thickness in eastern Tibet and the western Yangtze craton. First, wit...

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Bibliographic Details
Main Authors: X. Cheng, Q. Liu, P. Li, Y. Liu
Format: Article
Language:English
Published: Copernicus Publications 2019-04-01
Series:Nonlinear Processes in Geophysics
Online Access:https://www.nonlin-processes-geophys.net/26/61/2019/npg-26-61-2019.pdf