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.
Neural characterization of wire bundles multiconductor transmission lines / B., Cannas; A., Fanni; Maradei, Francescaromana. - In: IEEE TRANSACTIONS ON MAGNETICS. - ISSN 0018-9464. - STAMPA. - 38:2 I(2002), pp. 785-788. (Intervento presentato al convegno 13th Annual Conference on the Computation of Electromagnetic Field (COMPUMAG 01) tenutosi a EVIAN LES BAINS, FRANCE nel JUL 02-05, 2001) [10.1109/20.996203].
Neural characterization of wire bundles multiconductor transmission lines
MARADEI, Francescaromana
2002
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
