DocumentCode
1228569
Title
The Minimum Gradient Complexity Control Applied to Sensitivity Extraction of Electromagnetic Devices
Author
Vieira, D.A.G. ; Vasconcelos, J.A. ; Palade, V. ; Caminhas, W.M.
Author_Institution
Dept. of Electr. Eng., Fed. Univ. of Minas Gerais, Belo Horizonte
Volume
44
Issue
6
fYear
2008
fDate
6/1/2008 12:00:00 AM
Firstpage
1114
Lastpage
1117
Abstract
This paper applies the parallel layer perceptron network trained with the minimum gradient method (PLP-MGM) to the problem of indirect sensitivity extraction of electromagnetic devices. The networks trained with the MGM are less dependent of users´ defined parameters, as, for instance, the number of neurons. Some results are presented considering the indirect sensitivity extraction of a loudspeaker magnet assembly unit and an inverse scattering problem, and they show the effectiveness of the proposed approach.
Keywords
computational complexity; electromagnetic devices; gradient methods; inverse problems; sensitivity analysis; electromagnetic devices; indirect sensitivity extraction; inverse scattering problem; loudspeaker magnet assembly unit; minimum gradient complexity control; parallel layer perceptron network; Neural networks; optimization and design; parallel layer perceptron; regularization methods;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2007.915896
Filename
4527018
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