DocumentCode
1274515
Title
Neural characterization of wire bundles multiconductor transmission lines
Author
Cannas, Barbara ; Fanni, Alessandra ; Maradei, Francescaromana
Author_Institution
Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
Volume
38
Issue
2
fYear
2002
fDate
3/1/2002 12:00:00 AM
Firstpage
785
Lastpage
788
Abstract
A neural network approach is proposed for the characterization of twisted wire bundles multiconductor transmission lines. The neural network is suitably trained with few cross section configurations to learn the behavior of the per unit length parameters of the nonuniform bundle. The procedure allows a fast characterization of the nonuniform bundles multiconductor transmission lines
Keywords
multiconductor transmission lines; neural nets; transmission line theory; multiconductor transmission line; neural network model; nonuniform twisted wire bundle; per unit length parameters; Cable insulation; Dielectrics and electrical insulation; Electromagnetic analysis; Electromagnetic compatibility; Electromagnetic modeling; Finite element methods; Multiconductor transmission lines; Neural networks; Predictive models; Wire;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.996203
Filename
996203
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