Neural Network Techniques for High-Speed Electronic Component Modeling

Author

Zhang, Qi-Jun ; Zhang, Lei

Author_Institution

Dept. of Electron., Carleton Univ., Ottawa, ON

fYear

2009

fDate

19-20 Feb. 2009

Firstpage

69

Lastpage

72

Abstract

This paper provides an overview of neural network applications for high-speed electronic component modeling. Two neural network techniques, an electromagnetic (EM)-based neural modeling approach and a state-space dynamic neural network method, are presented. Accurate neural models are obtained to represent behaviors of EM component and nonlinear circuit. The neural models are used in signal integrity design of high-speed integrated circuits, helping to improve efficiency in circuit simulation and optimization.

Keywords

electron device manufacture; high-speed integrated circuits; neural nets; state-space methods; time-domain analysis; high-speed electronic component modeling; neural network techniques; state-space dynamic neural network method; Circuit simulation; Equations; Equivalent circuits; High-speed electronics; Integrated circuit interconnections; Integrated circuit modeling; Microwave theory and techniques; Neural networks; Radio frequency; Time domain analysis; EM modeling; integrated circuit (IC); neural network; state space;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Integrity and High-Speed Interconnects, 2009. IMWS 2009. IEEE MTT-S International Microwave Workshop Series on

Conference_Location

Guadalajara

Print_ISBN

978-1-4244-2742-0

Electronic_ISBN

978-1-4244-2743-7

Type

conf

DOI

10.1109/IMWS.2009.4814911

Filename

4814911