FDTD data extrapolation using multilayer perceptron (MLP)

Goksu H., POMMERENKE D., WUNSCH D.

IEEE Symposium on Electromagnetic Compatibility (EMC 2003), Massachusetts, Amerika Birleşik Devletleri, 18 - 22 Ağustos 2003, ss.735-737 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Massachusetts
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.735-737
  • Anahtar Kelimeler: FDTD, neural networks, multiplayer perceptron, EMC, data extrapolation, prediction, time series, complex exponentials
  • Akdeniz Üniversitesi Adresli: Hayır

Özet

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.