DocumentCode
3004021
Title
Fast hybrid integral equation-neural network method for the modeling of multiconductor transmission lines
Author
Piel, P.-M. ; Griffith, J. ; Lam, T.-T. ; Pan, G.W.
Author_Institution
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Volume
4
fYear
1999
fDate
13-19 June 1999
Firstpage
1673
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/spl prop//spl radic/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.
Keywords
integral equations; multiconductor transmission lines; neural nets; transmission line theory; CAD; distributed parameter model; frequency dependence; integral equation method; multiconductor transmission line; neural network; Conductors; Current distribution; Design automation; Frequency; Inductance; Integral equations; Multiconductor transmission lines; Neural networks; Surface resistance; Wire;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Symposium Digest, 1999 IEEE MTT-S International
Conference_Location
Anaheim, CA, USA
Print_ISBN
0-7803-5135-5
Type
conf
DOI
10.1109/MWSYM.1999.780292
Filename
780292
Link To Document