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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Nov 2019
Research article |
| 26 Nov 2019
| 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
The State Key Laboratory of Transmission Equipment & System Safety and Electrical New Technology, Chongqing University, Chongqing, 400044, China
The State Key Laboratory of Transmission Equipment & System Safety and Electrical New Technology, Chongqing University, Chongqing, 400044, China
Nian Yu
The State Key Laboratory of Transmission Equipment & System Safety and Electrical New Technology, Chongqing University, Chongqing, 400044, China
Ruiheng Li
The State Key Laboratory of Transmission Equipment & System Safety and Electrical New Technology, Chongqing University, Chongqing, 400044, China
Qiong Zhuang
The State Key Laboratory of Transmission Equipment & System Safety and Electrical New Technology, Chongqing University, Chongqing, 400044, China
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Cited
18 citations as recorded by crossref.
- Optimization of Subway Advertising Based on Neural Networks L. Sun et al. https://doi.org/10.1155/2020/1871423
- A novel method based on improved SFLA for IP information extraction from TEM signals R. Li et al. https://doi.org/10.1038/s41598-025-05376-4
- Inversion of self‐potential source based on particle swarm optimization Y. Luo et al. https://doi.org/10.1111/1365-2478.13299
- Quasi-2D inversion of surface large fixed-loop transient electromagnetic sounding data F. Li et al. https://doi.org/10.1093/jge/gxae013
- Inversion of Vertical Electrical Sounding Data Based on PSO-BP Neural Network Y. Wang et al. https://doi.org/10.3390/min15090925
- A Neural Network-Based Hybrid Framework for Least-Squares Inversion of Transient Electromagnetic Data M. Asif et al. https://doi.org/10.1109/TGRS.2021.3076121
- Using Wavelet Packet Denoising and a Regularized ELM Algorithm Based on the LOO Approach for Transient Electromagnetic Inversion R. Li et al. https://doi.org/10.1109/TGRS.2022.3151339
- Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data M. Asif et al. https://doi.org/10.1190/geo2021-0335.1
- Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion R. Li et al. https://doi.org/10.1109/TGRS.2022.3208465
- Analysis on stable imaging and inverse algorithm for artificial source EM data X. Luan et al. https://doi.org/10.1093/jge/gxae071
- Effect of Data Pre-Processing on the Performance of Neural Networks for 1-D Transient Electromagnetic Forward Modeling M. Asif et al. https://doi.org/10.1109/ACCESS.2021.3061761
- An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion R. Li et al. https://doi.org/10.1016/j.cageo.2021.104877
- Enhanced Whale Optimization Algorithm for Improved Transient Electromagnetic Inversion in the Presence of Induced Polarization Effects R. Li et al. https://doi.org/10.3390/math11194164
- A successful inversion of magnetic anomalies related to 2D dyke-models by a particle swarm scheme K. Essa et al. https://doi.org/10.1007/s12040-023-02075-4
- Data Science and Machine Learning in Geo-Electromagnetics: A Review Q. Huang et al. https://doi.org/10.1007/s10712-025-09904-9
- Transient Electromagnetic Nonlinear Inversion Method Based On Improved Bat Algorithm R. Li et al. https://doi.org/10.1111/1365-2478.70051
- optIFnet: A Capacitive Antenna Dipole Indention-Flexure Predictive Model Optimized Using Hybrid Lichtenberg Algorithm and Neural Network M. Enriquez et al. https://doi.org/10.20965/jaciii.2023.p0027
- Transient Electromagnetic Inversion: An ICDE-Trained Kernel Principal Component OSELM Approach R. Li et al. https://doi.org/10.1109/TGRS.2021.3112192
18 citations as recorded by crossref.
- Optimization of Subway Advertising Based on Neural Networks L. Sun et al. https://doi.org/10.1155/2020/1871423
- A novel method based on improved SFLA for IP information extraction from TEM signals R. Li et al. https://doi.org/10.1038/s41598-025-05376-4
- Inversion of self‐potential source based on particle swarm optimization Y. Luo et al. https://doi.org/10.1111/1365-2478.13299
- Quasi-2D inversion of surface large fixed-loop transient electromagnetic sounding data F. Li et al. https://doi.org/10.1093/jge/gxae013
- Inversion of Vertical Electrical Sounding Data Based on PSO-BP Neural Network Y. Wang et al. https://doi.org/10.3390/min15090925
- A Neural Network-Based Hybrid Framework for Least-Squares Inversion of Transient Electromagnetic Data M. Asif et al. https://doi.org/10.1109/TGRS.2021.3076121
- Using Wavelet Packet Denoising and a Regularized ELM Algorithm Based on the LOO Approach for Transient Electromagnetic Inversion R. Li et al. https://doi.org/10.1109/TGRS.2022.3151339
- Integrating neural networks in least-squares inversion of airborne time-domain electromagnetic data M. Asif et al. https://doi.org/10.1190/geo2021-0335.1
- Hybrid Memetic Pretrained Factor Analysis-Based Deep Belief Networks for Transient Electromagnetic Inversion R. Li et al. https://doi.org/10.1109/TGRS.2022.3208465
- Analysis on stable imaging and inverse algorithm for artificial source EM data X. Luan et al. https://doi.org/10.1093/jge/gxae071
- Effect of Data Pre-Processing on the Performance of Neural Networks for 1-D Transient Electromagnetic Forward Modeling M. Asif et al. https://doi.org/10.1109/ACCESS.2021.3061761
- An improved extreme learning machine algorithm for transient electromagnetic nonlinear inversion R. Li et al. https://doi.org/10.1016/j.cageo.2021.104877
- Enhanced Whale Optimization Algorithm for Improved Transient Electromagnetic Inversion in the Presence of Induced Polarization Effects R. Li et al. https://doi.org/10.3390/math11194164
- A successful inversion of magnetic anomalies related to 2D dyke-models by a particle swarm scheme K. Essa et al. https://doi.org/10.1007/s12040-023-02075-4
- Data Science and Machine Learning in Geo-Electromagnetics: A Review Q. Huang et al. https://doi.org/10.1007/s10712-025-09904-9
- Transient Electromagnetic Nonlinear Inversion Method Based On Improved Bat Algorithm R. Li et al. https://doi.org/10.1111/1365-2478.70051
- optIFnet: A Capacitive Antenna Dipole Indention-Flexure Predictive Model Optimized Using Hybrid Lichtenberg Algorithm and Neural Network M. Enriquez et al. https://doi.org/10.20965/jaciii.2023.p0027
- Transient Electromagnetic Inversion: An ICDE-Trained Kernel Principal Component OSELM Approach R. Li et al. https://doi.org/10.1109/TGRS.2021.3112192
Saved (final revised paper)
Latest update: 09 Jun 2026
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.
The chaotic-oscillation inertia weight back propagation (COPSO-BP) algorithm is proposed for...
