DocumentCode
3112514
Title
E.M. Inverse Scattering and Multi-Layer Perceptrons: Towards the automatic reconstruction of buried layers´ properties
Author
Caorsi, Salvatore ; Stasolla, Mattia
Author_Institution
Dept. of Electron., Univ. of Pavia, Pavia, Italy
fYear
2010
fDate
16-19 Aug. 2010
Firstpage
1000
Lastpage
1003
Abstract
The goal of this paper is a preliminary robustness assessment of a recently published ANN-based algorithm for the evaluation of subsurface layers´ properties. In particular, the analysis will focus on the dependency of overall performances on the training set dimensions and the neural networks capabilities of managing numerical errors.
Keywords
buried layers; electromagnetic wave scattering; ground penetrating radar; multilayer perceptrons; neural nets; ANN-based algorithm; EM inverse scattering; automatic reconstruction; buried layers property; electromagnetic wave scattering; multilayer perceptrons; neural network capability; robustness assessment; subsurface layer property; training set dimension; Artificial neural networks; Data models; Error analysis; Ground penetrating radar; Permittivity; Robustness; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Theory (EMTS), 2010 URSI International Symposium on
Conference_Location
Berlin
Print_ISBN
978-1-4244-5155-5
Electronic_ISBN
978-1-4244-5154-8
Type
conf
DOI
10.1109/URSI-EMTS.2010.5637142
Filename
5637142
Link To Document