Kim, J. H., Kang, B. C., Lee, S. H., Choi, B. Y., Kim, M. C., Kim, B. S., Ijaz, U. Z. , Kim, K. Y. and Kim, S. (2006) Phase boundary estimation in electrical resistance tomography with weighted multi-layered neural networks and front point approach. Measurement Science and Technology, 17(10), pp. 2731-2739. (doi: 10.1088/0957-0233/17/10/027)
Full text not currently available from Enlighten.
Abstract
This work presents a boundary estimation approach in electrical impedance imaging for binary mixture fields based on weighted multi-layered neural network and front point approach. The interfacial boundary is expressed with front points and the unknown front points are estimated with the weighted multi-layered neural network. Numerical experiments show that the proposed electrical resistance imaging approach has a good possibility for the application in the visualization of a binary mixture boundary for real-time monitoring.
Item Type: | Articles |
---|---|
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Ijaz, Dr Umer |
Authors: | Kim, J. H., Kang, B. C., Lee, S. H., Choi, B. Y., Kim, M. C., Kim, B. S., Ijaz, U. Z., Kim, K. Y., and Kim, S. |
College/School: | College of Science and Engineering > School of Engineering > Infrastructure and Environment |
Journal Name: | Measurement Science and Technology |
Publisher: | Institute of Physics Publishing Ltd. |
ISSN: | 0957-0233 |
ISSN (Online): | 1361-6501 |
University Staff: Request a correction | Enlighten Editors: Update this record