Fast hybrid integral equation-neural network method for the modeling of multiconductor transmission lines

Pierre Marie Piel, Jim Griffith, Tuyet Trang Lam, George Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Multiconductor transmission lines (MTL) have been modeled by distributed parameters R, L C and G in many commercial CAD packages, where most of the parameters are frequency independent or at most R ∞ √f. We present a new and fast technique based on neural network and integral equation methods (IEM) to accurately evaluate this frequency dependence, while dramatically reducing the computation time.

Original languageEnglish (US)
Title of host publicationIEEE MTT-S International Microwave Symposium Digest
PublisherIEEE
Pages1673-1676
Number of pages4
Volume4
StatePublished - 1999
EventProceedings of the 1999 IEEE MTT-S International Microwave Symposium Digest 'The Magic Touch of Microwaves' - Anaheim, CA, USA
Duration: Jun 13 1999Jun 19 1999

Other

OtherProceedings of the 1999 IEEE MTT-S International Microwave Symposium Digest 'The Magic Touch of Microwaves'
CityAnaheim, CA, USA
Period6/13/996/19/99

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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    Piel, P. M., Griffith, J., Lam, T. T., & Pan, G. (1999). Fast hybrid integral equation-neural network method for the modeling of multiconductor transmission lines. In IEEE MTT-S International Microwave Symposium Digest (Vol. 4, pp. 1673-1676). IEEE.