Journal of System Simulation
Abstract
Abstract: In order to resolve the nonlinear and ill-posed inverse problem of the image reconstruction of electrical capacitance tomography (ECT), an image reconstruction algorithm based on one-dimensional convolutional neural network (1D CNN) is presented. The nonlinear mapping relationship between the independent measurement value of ECT system and the gray value of reconstructed image is established by 1D CNN. Six typical flow regimes with random distribution are obtained by the finite element simulation software and a 1D CNN is successfully trained. Simulation and static experiments are carried out and the reconstructed images using linear back projection, Landweber iterative algorithm and 1D CNN are compared. Experimental results show that the 1D CNN algorithm has good generalization ability and the quality of reconstructed images by 1D CNN is obviously improved compared with the other two algorithms.
Recommended Citation
Wang, Xiaohan; Zhang, Lin; Laili, Yuanjun; Xie, Kunyu; and Hu, Tingchun
(2022)
"Constructing the Agent Discrete Simulation Based on DEVS Atomic Model,"
Journal of System Simulation: Vol. 34:
Iss.
2, Article 2.
DOI: 10.16182/j.issn1004731x.joss.21-0263
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss2/2
First Page
191
Revised Date
2021-04-01
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0263
Last Page
200
CLC
TP391.9
Recommended Citation
Xiaohan Wang, Lin Zhang, Yuanjun Laili, Kunyu Xie, Tingchun Hu. Constructing the Agent Discrete Simulation Based on DEVS Atomic Model[J]. Journal of System Simulation, 2022, 34(2): 191-200.
DOI
10.16182/j.issn1004731x.joss.21-0263
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