A New Image Reconstruction Algorithm for Electrical Capacitance Tomography

被引：0
|
作者：
Li Yan [1 ]
Bao Peiquan [1 ]
Cui Peng [1 ]
Feng Li [1 ]
Zhang Liyong [1 ]
机构：
[1] Harbin Univ Sci & Technol, Harbin 150080, Prov Heilongjia, Peoples R China
来源：
PROCEEDINGS OF THE 11TH JOINT CONFERENCE ON INFORMATION SCIENCES | 2008年
关键词：
Electrical capacitance tomography; RBF; Adaptive genetic algorithm; Tikhonov regularization; Image reconstruction;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In view of low precision of the reconstructed image of Electrical Capacitance Tomography (ECT) at present, a new image reconstruction method based on RBF neural network for Electrical Capacitance Tomography is proposed. Adaptive genetic algorithm is used to optimize the centers and widths of hidden layer of RBF network and Tikhonov regularization method is used to train the weights of RBF network. The simulation results for 12-electrode electrical capacitance tomography system illustrate that this method can improve the quality of reconstruction image obviously, testify the effectiveness of the proposed method.
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收藏
页数：6
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