FDTD data extrapolation using multilayer perceptron (MLP)

Hüseyin Göksu*, David J. Pommerenke, Donald C. Wunsch

*Corresponding author for this work

Research output: Contribution to journalConference article

Abstract

This work compares MLP with the Matrix Pencil Method, a linear eigenanalysis-based extrapolator, in terms of their effectiveness in Finite Difference Time Domain (FDTD) data extrapolation. Matrix Pencil Method considers the signal as superposed complex exponentials while MLP considers each time step to be a nonlinear function of previous time steps.

Original languageEnglish
Pages (from-to)735-737
Number of pages3
JournalIEEE International Symposium on Electromagnetic Compatibility
Volume2
Publication statusPublished - 20 Oct 2003
Externally publishedYes
Event2003 IEEE Symposium on Electromagnetic Compatibility - Boston, MA, United States
Duration: 18 Aug 200322 Aug 2003

Keywords

  • Complex exponentials
  • Data extrapolation
  • EMC
  • FDTD
  • Multiplayer perceptron
  • Neural networks
  • Prediction
  • Time series

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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