A fast approximation for 1-D inversion of transient electromagnetic data by using a back propagation neural network and improved particle swarm optimization

Li, Ruiyou; Zhang, Huaiqing; Yu, Nian; Li, Ruiheng; Zhuang, Qiong

doi:https://doi.org/10.5194/npg-26-445-2019

Articles | Volume 26, issue 4

https://doi.org/10.5194/npg-26-445-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/npg-26-445-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 4

Research article

|

26 Nov 2019

Research article |

| 26 Nov 2019

A fast approximation for 1-D inversion of transient electromagnetic data by using a back propagation neural network and improved particle swarm optimization

Ruiyou Li, Huaiqing Zhang, Nian Yu, Ruiheng Li, and Qiong Zhuang

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Final revised paper (published on 26 Nov 2019)
Preprint (discussion started on 02 Jul 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'npg-2019-36', Anonymous Referee #1, 10 Sep 2019
- AC3: 'BP Neural Network and improved Particle Swarm Optimization for Transient Electromagnetic Inversion', Huaiqing Zhang, 28 Sep 2019
RC2: 'BP Neural Network and improved Particle Swarm Optimization for Transient Electromagnetic Inversion', Anonymous Referee #2, 20 Sep 2019
- AC4: 'BP Neural Network and improved Particle Swarm Optimization for Transient Electromagnetic Inversion', Huaiqing Zhang, 28 Sep 2019
AC1: 'BP Neural Network and improved Particle Swarm Optimization for Transient Electromagnetic Inversion', Huaiqing Zhang, 28 Sep 2019
AC2: 'BP Neural Network and improved Particle Swarm Optimization for Transient Electromagnetic Inversion', Huaiqing Zhang, 28 Sep 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Huaiqing Zhang on behalf of the Authors (28 Sep 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Sep 2019) by Norbert Marwan

RR by Anonymous Referee #2 (08 Oct 2019)

RR by Anonymous Referee #1 (15 Oct 2019)

ED: Publish subject to minor revisions (review by editor) (17 Oct 2019) by Norbert Marwan

AR by Huaiqing Zhang on behalf of the Authors (19 Oct 2019) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (22 Oct 2019) by Norbert Marwan

AR by Huaiqing Zhang on behalf of the Authors (22 Oct 2019)

ED: Publish as is (24 Oct 2019) by Norbert Marwan

AR by Huaiqing Zhang on behalf of the Authors (25 Oct 2019) Manuscript

Short summary

The chaotic-oscillation inertia weight back propagation (COPSO-BP) algorithm is proposed for transient electromagnetic inversion. The BP's initial weight and threshold parameters were trained by COPSO, overcoming the BP falling into a local optimum. Inversion of the layered geoelectric model showed that the COPSO-BP method is accurate and stable and needs less training time. It can be used in 1-D direct current sounding, 1-D magnetotelluric sounding, seismic-wave impedance and source detection.