计算机工程与应用2011，Vol.47Issue(32)：198-200,3.DOI:10.3778/j.issn.1002-8331.2011.32.057
Chebyshev神经网络在ECT图像重建中的研究与应用
Research and application of image reconstruction algorithm based on Chebyshev for ECT
摘要
Abstract
In view of the low precision of the reconstruction image of Electrical Capacitance Tomography(ECT) at present, a new method of image reconstruction algorithm based on Chebyshev neural net works for electrical capacitance tomography is proposed.This neural network not only expands the identification ability and learning adaptation of the neural network,but also has a simple algorithm,a high speed convergence of learning process,and excellent characteristics in the linear and nonlinear accurate approximation.The system uses 12-electrode capacitance tomography system for gas-solid flow tube closure data detection, uses the improved neural network algorithm for image reconstruction, the obtained experimental results show that the method can improve the reconstruction image quality and testify the effectiveness of the proposed method.关键词
电容层析成像/Chebyshev算法/神经网络/图像重建Key words
Electrical Capacitance Tomography(ECT)/Chebyshev algorithm/neural network/image reconstruction分类
信息技术与安全科学引用本文复制引用
李岩,曹帅,冯莉,张礼勇..Chebyshev神经网络在ECT图像重建中的研究与应用[J].计算机工程与应用,2011,47(32):198-200,3.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60572135) （the National Natural Science Foundation of China under Grant No.60572135）
黑龙江省自然科学基金项目(No.F200505) （No.F200505）
黑龙江省教育厅基金项目(No.11511078). （No.11511078）
