Neural Characterization of Wire Bundles Multiconductor Transmission Lines
نویسندگان
چکیده
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.
منابع مشابه
Multiconductor Transmission-Line Characterization: Representations, Approximations, and Accuracy - Microwave Theory and Techniques, IEEE Transactions on
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