A hybrid integral equation and neural network approach for fast extraction of frequency dependent parameters of multiconductor transmission lines

Multiconductor transmission lines (MTL) have been modeled by the distributed parameters R , L , C , and G in many commercial CAD packages, where most of the parameters are assumed to be frequency independent or at most \documentclass{article}\pagestyle{empty}\begin{document}$R\, \propto \,\sqrt{f}$\end{document} . At gigahertz frequencies, such assumptions may introduce significantly large errors in the waveform simulation and timing. In this article, we present a new and fast technique based on a combination of neural network techniques and the integral equation method (IEM) to evaluate frequency dependences accurately, while dramatically reducing the computation time. © 2002 John Wiley & Sons, Inc. Int J RF and Microwave CAE 12: 37–50, 2002.