Abstract
This work presents a complex boundary estimation approach in electrical impedance imaging for binary-mixture fields based on a weighted multi-layer neural network and front point approach. The interfacial boundary expressed with front points and the unknown front points are estimated with the weighted multi-layer neural netwrok. Results from numerical experiments show that the proposed approach is insensitive to the measurement noise and has a strong good possibility for application in the visualization of binary mixtures for real time monitoring.
| Original language | English |
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| Title of host publication | 4th World Congress in Industrial Process Tomography |
| Publisher | International Society for Industrial Process Tomography |
| Pages | 410-415 |
| Number of pages | 6 |
| ISBN (Electronic) | 9780853163206 |
| State | Published - 2005 |
| Event | 4th World Congress in Industrial Process Tomography - Aizu, Japan Duration: 5 Sep 2005 → 5 Sep 2005 |
Publication series
| Name | 4th World Congress in Industrial Process Tomography |
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Conference
| Conference | 4th World Congress in Industrial Process Tomography |
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| Country/Territory | Japan |
| City | Aizu |
| Period | 5/09/05 → 5/09/05 |
Bibliographical note
Publisher Copyright:© 2014 International Society for Industrial Process Tomography.
Keywords
- Boundary estimation
- Front point tracking
- Multi-layer neural network