Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2008
Session Number:P1
Session:
Number:P1-13
Boundary Estimation with a Modified Multi-Layer Neural Network
Jae-Hyoung Kim, Chan Yong Kim, Jung Chul An, Bong-Yeol Choi, Sin Kim, Jeong Seong Lee, Kyung Youn Kim,
pp.-
Publication Date:2008/7/7
Online ISSN:2188-5079
Summary:
This work presents a boundary estimation approach for binary mixture fields based on a modified multi-layered neural network and front point approach. The boundary shape of anomaly is expressed with front points and the unknown front points are estimated with the proposed multi-layered neural network. Numerical experiments show that the proposed approach has a good possibility for the application in the visualization of a binary mixture boundary for real-time monitoring and has enhanced performances.