|Table of Contents|

An Improved Image Reconstruction Algorithm of Electrical Capacitance Tomography Based on RBF Neural Network

《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

Issue:
2008年06期
Page:
5-8
Research Field:
计算机与控制工程
Publishing date:

Info

Title:
An Improved Image Reconstruction Algorithm of Electrical Capacitance Tomography Based on RBF Neural Network
Author(s):
ZHANG Li-feng HU Hai-tao CHEN De-yun
(School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China)
Keywords:
electrical capacitance tomography image reconstruction algorithm RBF neural network normalization
PACS:
-
DOI:
-
Abstract:
RBF neural network has higher reconstruction quality and reconstruction speed than other image reconstruction algorithms when used in image reconstruction. It overcame well soft field characteristic, strong nonlinear and ill - posedness of electrical capacitance tomography. This paper improved the algorithm from finite element plotting pattern, data normalization and input layers. The simulation results show the improved method is effective and accurate for image reconstruction.

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Last Update: 2017-06-27