A pseudo-supervised machine learning approach to broadband LTI macro-modeling

Thong Nguyen, Jose E. Schutt-Aine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neural networks have been popularized by their ability to learn complex, non-linear mappings between features and output spaces. They have been used for learning the mapping between geometry and network parameters for various electrical structures such as interconnects. In this work, a novel neural network architecture is applied to black-box identification problems in which poles and residues of a dynamical system are the quantities to be extracted from frequency domain network parameters. Once poles and residues are extracted, time-domain simulation can be performed using well-establish time-domain simulation techniques.

Original languageEnglish (US)
Title of host publication2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, EMC/APEMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1018-1021
Number of pages4
ISBN (Electronic)9781509059973
DOIs
StatePublished - Jun 22 2018
Event60th IEEE International Symposium on Electromagnetic Compatibility and 9th IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, EMC/APEMC 2018 - Suntec City, Singapore
Duration: May 14 2018May 18 2018

Publication series

Name2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, EMC/APEMC 2018

Other

Other60th IEEE International Symposium on Electromagnetic Compatibility and 9th IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, EMC/APEMC 2018
CountrySingapore
CitySuntec City
Period5/14/185/18/18

    Fingerprint

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Radiation

Cite this

Nguyen, T., & Schutt-Aine, J. E. (2018). A pseudo-supervised machine learning approach to broadband LTI macro-modeling. In 2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, EMC/APEMC 2018 (pp. 1018-1021). (2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility, EMC/APEMC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISEMC.2018.8393939