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二维电阻抗断层成像算法研究
引用本文:张辉,周永军,张小娣.二维电阻抗断层成像算法研究[J].咸阳师范学院学报,2012,27(2):17-19.
作者姓名:张辉  周永军  张小娣
作者单位:咸阳师范学院物理与电子工程学院,陕西咸阳,712000
基金项目:陕西省教育厅科研基金项目(2010JK892);咸阳师范学院科研基金项目(11XSYK102)
摘    要:粒子群算法是一种随机、智能、全局优化算法,近年来越来越多的被应用于电磁学领域。提出修正的粒子群算法,并应用其进行电阻抗断层成像研究。对研究的圆形求解域采用有限元法进行剖分,电流注入采用三角电流法,并用修正的粒子群算法对园域内电导率目标进行介质重构。数值仿真结果表明:该方法对求解域内的目标位置定位准确,并能够准确地反映场域内电导率的分布。

关 键 词:修正的粒子群算法  电阻抗断层成像  有限元

Algorithm Study of 2-D Electrical Impedance Tomography
ZHANG Hui,ZHOU Yong-jun,ZHANG Xiao-di.Algorithm Study of 2-D Electrical Impedance Tomography[J].Journal of Xianyang Normal University,2012,27(2):17-19.
Authors:ZHANG Hui  ZHOU Yong-jun  ZHANG Xiao-di
Institution:(School of Physics and Electronic Engineering,Xianyang Normal University,Xianyang 712000,Shaanxi,China)
Abstract:The particle swarm optimization(PSO) is a stochastic and global evolutionary optomization algorithm.In recent years,the PSO has been used in the field of electromagnetics.In this paper,the Modified Particle Swarm Optimization(M-PSO)algorithm is given and used to study the imaging of the electrical impedance tomography,where the circle-domain solved is discretized into irregular polygons by the Finite Element Mthod(FEM),trigonometric current pattern and the M-PSO are adopted to reconstruct the conductivity distribution.The numerical simulation results show that the methods given in this paper can locates the targets accurately and reflects the conductivity distribution.
Keywords:modified particle swarm optimization  electrical impedance tomography  finite element method
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