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2-D Resistivity Inversion Using the Neural Network Method

  • Published:2006-03 Issue:2 Volume:49 Page:507-514
  • ISSN:0898-9591
  • Container-title:Chinese Journal of Geophysics
  • language:en
  • Short-container-title:Chinese J. Geophys.

Author:

XU Hai-Lang,WU Xiao-Ping

Publisher

Wiley

Subject

General Medicine

Reference22 articles.

1. High-density resistivity image;Di;Progress in Geophysics,2003

2. Resistivity imaging in hydrogeological exploration;Feng;Acta Seismologica Sinica,1997

3. Joint inversion of Wenner and dipole-dipole data to study a gasoline-contaminated soil;Matias;Journal of Applied Geophysics,2003

4. Study on some problems for crosshole resistivity tomography;Dong;Progress in Geophysics,1998

5. Approximate inverse mappings in DC problems;Li;Geophys. J. Int.,1992

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1. Two-dimensional Inversion of DC Resistivity Data on Unstructured Grids Using Fuzzy C-means Clustering Model Constraint;Journal of Environmental and Engineering Geophysics;2022-09

2. Research Trends and Case Studies of Deep Learning Applications in Geo-electric and Electromagnetic Surveys;Journal of the Korean Society of Mineral and Energy Resources Engineers;2022-08-31

3. Rayleigh Wave Dispersion Curve Inversion with the Artificial Bee Colony Algorithm;Journal of Environmental and Engineering Geophysics;2021-06

4. Inversion of magnetic data using deep neural networks;Physics of the Earth and Planetary Interiors;2021-02

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