Image Reconstruction Algorithm Based on Algebraic Neural Network for Electrical Resistance Tomography

被引：6
|
作者：
Zhang Yanjun [1 ]
Wang Lili [1 ]
Zhou Jing [1 ]
Chen Deyun [1 ]
机构：
[1] Harbin Univ Sci & Technol, Coll Comp Sci & Technol, Harbin, Peoples R China
来源：
2009 IITA INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS ENGINEERING, PROCEEDINGS | 2009年
关键词：
Electrical resistance tomography; Two phase flow; Image reconstruction algorithm; Algebraic neural network;
D O I：
10.1109/CASE.2009.79
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：242 / 245
页数：4
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