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

CANNAS, BARBARA;FANNI, ALESSANDRA;
2002-01-01

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/106304
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