Title :
Modeling the frequency-dependent parameters of high-speed interconnects: a neural network approach
Author :
Veluswami, Anand ; Nakhla, Michel S. ; Zhang, Qi-Jun
Author_Institution :
Mitel Corp., Kanata, Ont., Canada
Abstract :
In this paper, artificial neural networks are applied to the modeling of the frequency-dependent parameters of lossy interconnects. Neural networks are an efficient mathematical tool capable of mapping the relationship between the physical parameters of interconnects and their per-unit-length parameters over a large range of frequency. They offer high on-line speed and are ideally suited for use in iterative computer-aided design and optimization techniques
Keywords :
circuit CAD; circuit analysis computing; digital integrated circuits; integrated circuit interconnections; integrated circuit packaging; multichip modules; neural nets; artificial neural networks; computer-aided design; frequency-dependent parameters; high-speed interconnects; iterative CAD; iterative optimization; lossy interconnects; modeling; Artificial neural networks; Closed-form solution; Digital circuits; Electromagnetic analysis; Frequency; Integrated circuit interconnections; Neural networks; Neurons; Signal analysis; Signal design;
Conference_Titel :
Multi-Chip Module Conference, 1997. MCMC '97., 1997 IEEE
Conference_Location :
Santa Cruz, CA
Print_ISBN :
0-8186-7789-9
DOI :
10.1109/MCMC.1997.569354
