Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—applied to GPR crosshole traveltime inversion

Research output: Contribution to journalJournal articleResearchpeer-review

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Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—applied to GPR crosshole traveltime inversion. / Hansen, Thomas Mejer; Cordua, Knud Skou.

In: Geophysical Journal International, Vol. 211, 13.09.2017, p. 1524-1533.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hansen, TM & Cordua, KS 2017, 'Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—applied to GPR crosshole traveltime inversion', Geophysical Journal International, vol. 211, pp. 1524-1533. https://doi.org/10.1093/gji/ggx380

APA

Hansen, T. M., & Cordua, K. S. (2017). Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—applied to GPR crosshole traveltime inversion. Geophysical Journal International, 211, 1524-1533. https://doi.org/10.1093/gji/ggx380

Vancouver

Hansen TM, Cordua KS. Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—applied to GPR crosshole traveltime inversion. Geophysical Journal International. 2017 Sep 13;211:1524-1533. https://doi.org/10.1093/gji/ggx380

Author

Hansen, Thomas Mejer ; Cordua, Knud Skou. / Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—applied to GPR crosshole traveltime inversion. In: Geophysical Journal International. 2017 ; Vol. 211. pp. 1524-1533.

Bibtex

@article{e884e65759d84560b8eb3f23bd27f22a,
title = "Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—applied to GPR crosshole traveltime inversion",
author = "Hansen, {Thomas Mejer} and Cordua, {Knud Skou}",
year = "2017",
month = sep,
day = "13",
doi = "10.1093/gji/ggx380",
language = "Dansk",
volume = "211",
pages = "1524--1533",
journal = "Geophysical Journal International",
issn = "0956-540X",
publisher = "Oxford University Press",

}

RIS

TY - JOUR

T1 - Efficient Monte Carlo sampling of inverse problems using a neural network-based forward—applied to GPR crosshole traveltime inversion

AU - Hansen, Thomas Mejer

AU - Cordua, Knud Skou

PY - 2017/9/13

Y1 - 2017/9/13

U2 - 10.1093/gji/ggx380

DO - 10.1093/gji/ggx380

M3 - Tidsskriftartikel

VL - 211

SP - 1524

EP - 1533

JO - Geophysical Journal International

JF - Geophysical Journal International

SN - 0956-540X

ER -

ID: 184912888