Modeling the Frequency-Dependent Parameters of High-Speed Interconnects: A Neural Network Approach

  • Authors:
  • Anand Veluswami;Michel S. Nakhla;Qi-jun Zhang

  • Affiliations:
  • -;-;-

  • Venue:
  • MCMC '97 Proceedings of the 1997 Conference on IEEE Multi-Chip Module Conference
  • Year:
  • 1997

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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.