Articles | Volume 26, issue 4
Nonlin. Processes Geophys., 26, 445–456, 2019
Nonlin. Processes Geophys., 26, 445–456, 2019

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 et al.

Cited articles

Dai, Q., Jiang, F., and Dong, L.: Nonlinear inversion for electrical resistivity tomography based on chaotic DE-BP algorithm, J. Cent. South. Univ., 21, 2018–2025,, 2014. 
Fernández Martínez, J. L., García Gonzalo, E., Fernández Álvarez, J. P., Kuzma, H. A., and Menéndez Pérez, C. O.: PSO: A powerful algorithm to solve geophysical inverse problems: Application to a 1D-DC resistivity case, J. Appl. Geophys., 71, 13–25,, 2010. 
Godio, A. and Santilano, A.: On the optimization of electromagnetic geophysical data: Application of the PSO algorithm, J. Appl. Geophys., 148, 163–174,, 2018. 
Jha, M. K., Kumar, S., and Chowdhury, A.: Vertical electrical sounding survey and resistivity inversion using genetic algorithm optimization technique, J. Hydrol., 359, 71–87,, 2008. 
Jiang, F., Dai, Q., and Dong, L.: An ICPSO-RBFNN nonlinear inversion for electrical resistivity imaging, J. Cent. South. Univ., 23, 2129–2138,, 2016a. 
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.