Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography

Zhang Yanjun; Wang Lili; Zhou Jing; Chen Deyun

doi:10.1109/CASE.2009.79

Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography

Zhang Yanjun^*, Wang Lili, Zhou Jing, Chen Deyun

^*Corresponding author for this work

Harbin University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Two-phase fluid has complex flow characteristic and the accurate identification of flow regime is the basis of the accurate measurement of two-phase flow's parameter. There are still many defects such as low reconstruction quality and low reconstruction speed in image reconstruction algorithm because of soft field characteristic, strong nonlinear and ill-posedness of electrical resistance tomography. This paper put forward a new image reconstruction algorithm for ERT based on algebraic neural network. This algorithm transformed image reconstruction into a problem of solving strictly diagonal-dominant linear equations. Through the simulation experiment analysis, this method has characteristics such as fast convergence, low cost and small error.

Original language	English
Title of host publication	Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009
Pages	242-245
Number of pages	4
DOIs	https://doi.org/10.1109/CASE.2009.79
Publication status	Published - 2009
Externally published	Yes
Event	2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009 - Zhangjiajie, China Duration: 11 Jul 2009 → 12 Jul 2009

Publication series

Name	Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009

Conference

Conference	2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009
Country/Territory	China
City	Zhangjiajie
Period	11/07/09 → 12/07/09

Keywords

Algebraic neural network
Electrical resistance tomography
Image reconstruction algorithm
Two phase flow

Access to Document

10.1109/CASE.2009.79

Cite this

Yanjun, Z., Lili, W., Jing, Z., & Deyun, C. (2009). Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography. In Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009 (pp. 242-245). Article 5194436 (Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009). https://doi.org/10.1109/CASE.2009.79

Yanjun, Zhang ; Lili, Wang ; Jing, Zhou et al. / Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography. Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009. 2009. pp. 242-245 (Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009).

@inproceedings{e84d4ee6f4b745449600fc25c8c3cdf2,

title = "Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography",

abstract = "Two-phase fluid has complex flow characteristic and the accurate identification of flow regime is the basis of the accurate measurement of two-phase flow's parameter. There are still many defects such as low reconstruction quality and low reconstruction speed in image reconstruction algorithm because of soft field characteristic, strong nonlinear and ill-posedness of electrical resistance tomography. This paper put forward a new image reconstruction algorithm for ERT based on algebraic neural network. This algorithm transformed image reconstruction into a problem of solving strictly diagonal-dominant linear equations. Through the simulation experiment analysis, this method has characteristics such as fast convergence, low cost and small error.",

keywords = "Algebraic neural network, Electrical resistance tomography, Image reconstruction algorithm, Two phase flow",

author = "Zhang Yanjun and Wang Lili and Zhou Jing and Chen Deyun",

year = "2009",

doi = "10.1109/CASE.2009.79",

language = "English",

isbn = "9780769537283",

series = "Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009",

pages = "242--245",

booktitle = "Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009",

note = "2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009 ; Conference date: 11-07-2009 Through 12-07-2009",

}

Yanjun, Z, Lili, W, Jing, Z & Deyun, C 2009, Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography. in Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009., 5194436, Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009, pp. 242-245, 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009, Zhangjiajie, China, 11/07/09. https://doi.org/10.1109/CASE.2009.79

Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography. / Yanjun, Zhang; Lili, Wang; Jing, Zhou et al.
Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009. 2009. p. 242-245 5194436 (Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography

AU - Yanjun, Zhang

AU - Lili, Wang

AU - Jing, Zhou

AU - Deyun, Chen

PY - 2009

Y1 - 2009

N2 - Two-phase fluid has complex flow characteristic and the accurate identification of flow regime is the basis of the accurate measurement of two-phase flow's parameter. There are still many defects such as low reconstruction quality and low reconstruction speed in image reconstruction algorithm because of soft field characteristic, strong nonlinear and ill-posedness of electrical resistance tomography. This paper put forward a new image reconstruction algorithm for ERT based on algebraic neural network. This algorithm transformed image reconstruction into a problem of solving strictly diagonal-dominant linear equations. Through the simulation experiment analysis, this method has characteristics such as fast convergence, low cost and small error.

AB - Two-phase fluid has complex flow characteristic and the accurate identification of flow regime is the basis of the accurate measurement of two-phase flow's parameter. There are still many defects such as low reconstruction quality and low reconstruction speed in image reconstruction algorithm because of soft field characteristic, strong nonlinear and ill-posedness of electrical resistance tomography. This paper put forward a new image reconstruction algorithm for ERT based on algebraic neural network. This algorithm transformed image reconstruction into a problem of solving strictly diagonal-dominant linear equations. Through the simulation experiment analysis, this method has characteristics such as fast convergence, low cost and small error.

KW - Algebraic neural network

KW - Electrical resistance tomography

KW - Image reconstruction algorithm

KW - Two phase flow

UR - http://www.scopus.com/inward/record.url?scp=70449348383&partnerID=8YFLogxK

U2 - 10.1109/CASE.2009.79

DO - 10.1109/CASE.2009.79

M3 - Conference contribution

AN - SCOPUS:70449348383

SN - 9780769537283

T3 - Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009

SP - 242

EP - 245

BT - Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009

T2 - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009

Y2 - 11 July 2009 through 12 July 2009

ER -

Yanjun Z, Lili W, Jing Z, Deyun C. Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography. In Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009. 2009. p. 242-245. 5194436. (Proceedings - 2009 IITA International Conference on Control, Automation and Systems Engineering, CASE 2009). doi: 10.1109/CASE.2009.79

Image reconstruction algorithm based on algebraic neural network for electrical resistance tomography

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