Global crustal thickness from neural network inversion of surface wave data
By U. Meier, Andrew Curtis, Jeannot Trampert. 2007
167 citations recorded by the source corpus.
Subfields: Geophysics
View Paper: https://www.semanticscholar.org/paper/82ea02a7a55429796cd7afee0afbcdeac0ba1fbf
How researchers see this paper
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In Geophysics
- Yu Jeffrey Gu
- Qinya Liu
- Jeroen Tromp
- Andreas Fichtner
- Jeannot Trampert
- G. Ekström
- P. Moulik
- Ebru Bozdag
Citations in the corpus
- Resolution analysis in full waveform inversion (2011, unknown): “Within the continental crust, the isotropic P wave speed α, and density ρ, are scaled to β as α = 1.5399β + 840 m s−1, and ρ = 0.2277β + 2016 kg m−3(Meier et al. 2007a).”
- Seismic imaging: From classical to adjoint tomography (2012, background): “…originated from ferromagnetic, thermodynamic and cellular systems; prime examples include simulated annealing (Iyer andHirahara, 1993;Weber, 2000), genetic algorithm (Bodin et al., 2012; Koper et al., 1999; Sambridge and Drijkoningen, 1992) and neural network algorithm (Meier et al., 2007a,2007b).”