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Research of the Image Reconstruction Algorithm for Electrical Resistance Tomography Based on Neural Network

Wei Ying
PO Box 321, School of Information Science and Engineering, Northeastern University, Shenyang, 110006, P. R. China
E-mail:MCGMZWZC@pub.ln.cninfo.net
Tel & Fax: +86 24 23891977
Wu Xinjie Zhao Jinchuang Wang Shi
Contact

Abstract

Introduction

1. Mathematics model and the problem describe of ERT

2. RBF neural network model

3.The result of simulation study

4. Conclusion

Reference

  1. F.D.& M.W., Electrical resistance tomograhy for process application Meas.Sci.Tech vol.7 1996 247-260
  2. Wang Yongji and Tu Jian, Neuron network control, Press of China Machinery Industry: Beijing, (in Chinese)Feb.1998, 68-85
  3. T.M. & Y.K., Electrical Impedance Computed Tomography Based on a Finite Element Model IEEE TRANS. ON BIO. ENG.vol.BME-32 No.3(1985) 177-184
  4. T J.Y.& J G. W. et al, Comparing Reconstruction Algorithms for Electrical Impedance Tomography IEEE TRANS. ON BIO. ENG.vol.BME-34 No.11(1987) 843-852
  5. Xu Hui, Research on Electrical Capacitance Tomography Applied to Gas/Solid Two-phase Flow Concentration Measurements (in Chinese), Doctor degree thesis of China Northeastern University, April 1999

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