Title :
Neural Network Techniques for High-Speed Electronic Component Modeling
Author :
Zhang, Qi-Jun ; Zhang, Lei
Author_Institution :
Dept. of Electron., Carleton Univ., Ottawa, ON
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;
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
DOI :
10.1109/IMWS.2009.4814911
