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Volumn 169, Issue 2, 2007, Pages 706-722

Global crustal thickness from neural network inversion of surface wave data

Author keywords

Crustal structure; Inversion; Moho discontinuity; Surface waves; Tomography

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CRUSTAL THICKNESS; DATA INVERSION; MOHO; OCEANIC CRUST; PROBABILITY; SEISMIC DATA; SEISMIC TOMOGRAPHY;

EID: 34247255581     PISSN: 0956540X     EISSN: 1365246X     Source Type: Journal    
DOI: 10.1111/j.1365-246X.2007.03373.x     Document Type: Article
Times cited : (164)

References (44)
  • 2
    • 0001511635 scopus 로고    scopus 로고
    • The current limits of resolution for surface wave tomography in north america
    • Bassin, C., Laske, G. & Masters, G., 2000. The current limits of resolution for surface wave tomography in north america, EOS, Trans. Am. geophys. Un., F897.
    • (2000) EOS, Trans. Am. Geophys. Un. , vol.F897
    • Bassin, C.1    Laske, G.2    Masters, G.3
  • 3
    • 0032925830 scopus 로고    scopus 로고
    • Inferring the lithology of borehole rocks by applying neural network classifiers to downhole logs: An example from the ocean drilling program
    • Benaouda, D., Wadge, G., Whitmarsh, R., Rothwell, R. & MacLeod, C., 1999. Inferring the lithology of borehole rocks by applying neural network classifiers to downhole logs: An example from the ocean drilling program, Geophys. J. Int., 136, 477-491.
    • (1999) Geophys. J. Int. , vol.136 , pp. 477-491
    • Benaouda, D.1    Wadge, G.2    Whitmarsh, R.3    Rothwell, R.4    MacLeod, C.5
  • 5
    • 0033240927 scopus 로고    scopus 로고
    • Neural network based wind vector retrieval from satellite scatterometer data
    • Cornford, D., Nabney, I.T. & Bishop, C.M., 1999. Neural network based wind vector retrieval from satellite scatterometer data, Neural Computing and Applications, 8, 206-217.
    • (1999) Neural Computing and Applications , vol.8 , pp. 206-217
    • Cornford, D.1    Nabney, I.T.2    Bishop, C.M.3
  • 6
    • 0344702580 scopus 로고    scopus 로고
    • Crust and upper mantle shear velocity structure beneath the Tibetan plateau and surrounding regions from interevent surface wave phase velocity inversion
    • Curtis, A. & Woodhouse, J., 1997. Crust and upper mantle shear velocity structure beneath the Tibetan plateau and surrounding regions from interevent surface wave phase velocity inversion, J. geophys. Res., 102(B6), 11 789-11 813.
    • (1997) J. Geophys. Res. , vol.102 , Issue.B6
    • Curtis, A.1    Woodhouse, J.2
  • 7
    • 0032449267 scopus 로고    scopus 로고
    • Eurasian fundamental mode surface wave phase velocities and their relationship with tectonic structures
    • Curtis, A., Trampert, J., Snieder, R. & Dost, B., 1998. Eurasian fundamental mode surface wave phase velocities and their relationship with tectonic structures, J. geophys. Res., 103(B11), 26 19-26 947.
    • (1998) J. Geophys. Res. , vol.103 , Issue.B11
    • Curtis, A.1    Trampert, J.2    Snieder, R.3    Dost, B.4
  • 8
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko, G., 1989. Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals and Systems, 2, 304-314.
    • (1989) Mathematics of Control, Signals and Systems , vol.2 , pp. 304-314
    • Cybenko, G.1
  • 9
    • 34247196937 scopus 로고    scopus 로고
    • Crustal thickness estimation using high frequency rayleigh waves
    • Das, T. & Nolet, G., 2001. Crustal thickness estimation using high frequency rayleigh waves, Geophys. Res. Lett, 123, 169-184.
    • (2001) Geophys. Res. Lett , vol.123 , pp. 169-184
    • Das, T.1    Nolet, G.2
  • 10
    • 0033545029 scopus 로고    scopus 로고
    • An efficient, probabilistic neural network approach to solving inverse problems: Inverting surface wave velocities for Eurasian crustal thickness
    • Devilee, R., Curtis, A. & Roy-Chowdhury, K., 1999. An efficient, probabilistic neural network approach to solving inverse problems: inverting surface wave velocities for Eurasian crustal thickness, J. geophys. Res., 104(B12), 28 41-28 857.
    • (1999) J. Geophys. Res. , vol.104 , Issue.B12
    • Devilee, R.1    Curtis, A.2    Roy-Chowdhury, K.3
  • 13
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik, K., Stinchcombe, M. & White, H., 1989. Multilayer feedforward networks are universal approximators, Neural Networks, 2, 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 14
    • 0036252025 scopus 로고    scopus 로고
    • Spectral-element simulations of global seismic wave propagation-i. validation
    • Komatitsch, D. & Tromp, J., 2002a. Spectral-element simulations of global seismic wave propagation-i. validation, Geophys. J. Int., 149, 390-412.
    • (2002) Geophys. J. Int. , vol.149 , pp. 390-412
    • Komatitsch, D.1    Tromp, J.2
  • 15
    • 0036075317 scopus 로고    scopus 로고
    • Spectral-element simulations of global seismic wave propagation-ii. three-dimensional models, oceans, rotation and self-gravitation
    • Komatitsch, D. & Tromp, J., 2002b. Spectral-element simulations of global seismic wave propagation-ii. three-dimensional models, oceans, rotation and self-gravitation, Geophys. J. Int., 150, 303-318.
    • (2002) Geophys. J. Int. , vol.150 , pp. 303-318
    • Komatitsch, D.1    Tromp, J.2
  • 16
    • 0031815577 scopus 로고    scopus 로고
    • The spectral element method: An efficient tool to simulate the seismic response of 2d and 3d geological structures
    • Komatitsch, D. & Vilotte, J.-P., 1998. The spectral element method: an efficient tool to simulate the seismic response of 2d and 3d geological structures, Bull. seism. Soc. Am., 88, 368-392.
    • (1998) Bull. Seism. Soc. Am. , vol.88 , pp. 368-392
    • Komatitsch, D.1    Vilotte, J.-P.2
  • 17
    • 0035312886 scopus 로고    scopus 로고
    • Bayesian approach for neural networks - Review and case studies
    • Lampinen, J. & Vehtari, A., 2001. Bayesian approach for neural networks - review and case studies, Neural Networks, 14(3), 257-274.
    • (2001) Neural Networks , vol.14 , Issue.3 , pp. 257-274
    • Lampinen, J.1    Vehtari, A.2
  • 18
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • MacKay, D.J., 1992a. Bayesian interpolation, Neural Computation, 4, 415-447.
    • (1992) Neural Computation , vol.4 , pp. 415-447
    • MacKay, D.J.1
  • 19
    • 0002704818 scopus 로고
    • A practical Bayesian framework for backprop networks
    • MacKay, D.J., 1992b. A practical Bayesian framework for backprop networks, Neural Computation, 4, 448-472.
    • (1992) Neural Computation , vol.4 , pp. 448-472
    • MacKay, D.J.1
  • 20
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • Moller, M., 1993. A scaled conjugate gradient algorithm for fast supervised learning, Neural Networks, 6, 525-533.
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Moller, M.1
  • 21
    • 0024226190 scopus 로고
    • Vectorial tomography - II. Application to the indian ocean
    • Montagner, J.-P. & Jobert, N., 1988. Vectorial tomography - ii. Application to the indian ocean, Geophys. J., 94, 309-344.
    • (1988) Geophys. J. , vol.94 , pp. 309-344
    • Montagner, J.-P.1    Jobert, N.2
  • 22
    • 11744295486 scopus 로고    scopus 로고
    • Crust5.1: A global crustal model at 5 × 5 degrees
    • Mooney, W.D., Laske, G. & Masters, T.G., 1998. Crust5.1: A global crustal model at 5 × 5 degrees, J. geophys. Res., 103(B1), 727-747.
    • (1998) J. Geophys. Res. , vol.103 , Issue.B1 , pp. 727-747
    • Mooney, W.D.1    Laske, G.2    Masters, T.G.3
  • 23
    • 0029481451 scopus 로고
    • Monte Carlo sampling of solutions to inverse problems
    • Mosegaard, K. & Tarantola, A., 1995. Monte Carlo sampling of solutions to inverse problems, J. geophys. Res., 100(B7), 12 431-12 447.
    • (1995) J. Geophys. Res. , vol.100 , Issue.B7
    • Mosegaard, K.1    Tarantola, A.2
  • 25
    • 0003301456 scopus 로고    scopus 로고
    • Bayesian Learning for Neural Networks
    • in Springer Verlag, New York, USA
    • Neal, R.M., 1996. Bayesian Learning for Neural Networks, no. 118 in Lecture Notes in Statistics, Springer Verlag, New York, USA.
    • (1996) Lecture Notes in Statistics , Issue.118
    • Neal, R.M.1
  • 26
    • 0000316134 scopus 로고    scopus 로고
    • Eurasian surface wave tomography: Group velocities
    • Ritzwoller, M.H. & Levshin, A.L., 1998. Eurasian surface wave tomography: Group velocities, J. geophys. Res., 103(B3), 4839-4878.
    • (1998) J. Geophys. Res. , vol.103 , Issue.B3 , pp. 4839-4878
    • Ritzwoller, M.H.1    Levshin, A.L.2
  • 28
    • 0028262573 scopus 로고
    • Neural networks and inversion of seismic data
    • Roth, G. & Tarantola, A., 1994. Neural networks and inversion of seismic data, J. geophys. Res., 99, 6753-6768.
    • (1994) J. Geophys. Res. , vol.99 , pp. 6753-6768
    • Roth, G.1    Tarantola, A.2
  • 30
    • 0032753561 scopus 로고    scopus 로고
    • Geophysical inversion with a neighborhood algorithm-i. Searching a parameter space
    • Sambridge, M., 1999a. Geophysical inversion with a neighborhood algorithm-i. searching a parameter space, Geophys. J. Int., 138, 479-494.
    • (1999) Geophys. J. Int. , vol.138 , pp. 479-494
    • Sambridge, M.1
  • 31
    • 0032695503 scopus 로고    scopus 로고
    • Geophysical inversion with a neighborhood algorithm-ii. Appraising the ensemble
    • Sambridge, M., 1999b. Geophysical inversion with a neighborhood algorithm-ii. appraising the ensemble, Geophys. J. Int., 138, 727-746.
    • (1999) Geophys. J. Int. , vol.138 , pp. 727-746
    • Sambridge, M.1
  • 32
    • 0036788845 scopus 로고    scopus 로고
    • Monte-Carlo inversion for a global shear-velocity model of the crust and upper mantle
    • Shapiro, N.M. & Ritzwoller, M.H., 2002. Monte-Carlo inversion for a global shear-velocity model of the crust and upper mantle, Geophys. J. Int., 151, 88-105.
    • (2002) Geophys. J. Int. , vol.151 , pp. 88-105
    • Shapiro, N.M.1    Ritzwoller, M.H.2
  • 33
    • 3042805466 scopus 로고    scopus 로고
    • Thinning and flow of Tibetan crust constrained by seismic anisotropy
    • Shapiro, N.M., Ritzwoller, M.H., Molnar, P. & Levin, V., 2004. Thinning and flow of Tibetan crust constrained by seismic anisotropy, Science, 305, 233-236.
    • (2004) Science , vol.305 , pp. 233-236
    • Shapiro, N.M.1    Ritzwoller, M.H.2    Molnar, P.3    Levin, V.4
  • 36
    • 0019910307 scopus 로고
    • Inverse problems = quest for information
    • Tarantola, A. & Valette, B., 1982. Inverse problems =quest for information, J. Geophys., 50, 159-170.
    • (1982) J. Geophys. , vol.50 , pp. 159-170
    • Tarantola, A.1    Valette, B.2
  • 37
    • 0029754435 scopus 로고    scopus 로고
    • A review of Bayesian neural networks with an application to near infrared spectroscopy
    • Thodberg, H.H., 1996. A review of Bayesian neural networks with an application to near infrared spectroscopy, IEEE Transactions on Neural Networks, 7, 56-72.
    • (1996) IEEE Transactions on Neural Networks , vol.7 , pp. 56-72
    • Thodberg, H.H.1
  • 38
    • 0038497470 scopus 로고    scopus 로고
    • Global anisotropic phase velocity maps for fundamental mode surface waves between 40 and 150s
    • Trampert, J. & Woodhouse, J.H., 2003. Global anisotropic phase velocity maps for fundamental mode surface waves between 40 and 150s, Geophys. J. Int., 154, 154-165.
    • (2003) Geophys. J. Int. , vol.154 , pp. 154-165
    • Trampert, J.1    Woodhouse, J.H.2
  • 39
    • 0034233231 scopus 로고    scopus 로고
    • Neural networks in geophysical applications
    • van der Baan, M. & Jutten, C., 2000. Neural networks in geophysical applications, Geophysics, 65, 1032-1047.
    • (2000) Geophysics , vol.65 , pp. 1032-1047
    • van der Baan, M.1    Jutten, C.2
  • 41
    • 0028425697 scopus 로고
    • Functional approximation by feed-forward networks: A least-squares approach to generalization
    • Webb, A.R., 1994. Functional approximation by feed-forward networks: A least-squares approach to generalization, IEEE Transactions on Neural Networks, 5, 363-371.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 363-371
    • Webb, A.R.1
  • 42
    • 0002052214 scopus 로고
    • The calculation of eigenfrequencies and eigenfunctions of the free oscillations of the earth and the sun
    • in Academic Press, London, UK
    • Woodhouse, J.H., 1988. The calculation of eigenfrequencies and eigenfunctions of the free oscillations of the earth and the sun, in Seismological Algorithms, Computational Methods and Computer Programs, pp. 321-370, Academic Press, London, UK.
    • (1988) Seismological Algorithms, Computational Methods and Computer Programs , pp. 321-370
    • Woodhouse, J.H.1
  • 43
    • 33645969425 scopus 로고    scopus 로고
    • Finite-frequency effects in global surface-wave tomography
    • Zhou, Y., Dahlen, F., Nolet, G. & Laske, G., 2005. Finite-frequency effects in global surface-wave tomography, Geophys. J. Int., 163, 1078-1111.
    • (2005) Geophys. J. Int. , vol.163 , pp. 1078-1111
    • Zhou, Y.1    Dahlen, F.2    Nolet, G.3    Laske, G.4
  • 44
    • 33744939495 scopus 로고    scopus 로고
    • Global upper-mantle structure from finite-frequency surface-wave tomography
    • Zhou, Y., Nolet, G., Dahlen, F. & Laske, G., 2006. Global upper-mantle structure from finite-frequency surface-wave tomography, J. geophys. Res., 111, B04304.
    • (2006) J. Geophys. Res. , vol.111
    • Zhou, Y.1    Nolet, G.2    Dahlen, F.3    Laske, G.4


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