@inproceedings{dc2f965a356e4fbf8e1e96a1aeb95376,
title = "Phase boundary estimation in electrical resistance tomography with weighted multi-layer neural networks and front point approach",
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.",
keywords = "Boundary estimation, Front point tracking, Multi-layer neural network",
author = "Kim, {J. H.} and Kang, {B. C.} and Choi, {B. Y.} and Lee, {S. H.} and Kim, {M. C.} and Kim, {B. S.} and Kim, {K. Y.} and S. Kim",
note = "Publisher Copyright: {\textcopyright} 2014 International Society for Industrial Process Tomography.; 4th World Congress in Industrial Process Tomography ; Conference date: 05-09-2005 Through 05-09-2005",
year = "2005",
language = "English",
series = "4th World Congress in Industrial Process Tomography",
publisher = "International Society for Industrial Process Tomography",
pages = "410--415",
booktitle = "4th World Congress in Industrial Process Tomography",
}