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Image reconstruction method for electrical capacitance tomography based on C-support vector machine algorithm

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4 Author(s)
Yuhui Han ; Henan Engineering Center of Automation, Henan Academy of Sciences, Zhengzhou China ; Lili Shen ; Bing Han ; Zhaoyu Li

Electrical capacitance tomography (ECT) is a typical small samples and nonlinear mapping problem. Support vector machine (SVM) is based on the special small samples theory with strong generalization ability, and is selected as an optimal theory for small samples classify problem. In this paper the ECT image reconstruction algorithms based on C-S VM is proposed and a novel training method is proposed to improve the efficiency of C-SVM classifier by selecting active penalty parameters. The simulation and experiment indicates this algorithm has the stronger space resolution and generalization ability.

Published in:

Electrical and Control Engineering (ICECE), 2011 International Conference on

Date of Conference:

16-18 Sept. 2011