FDTD Data Extrapolation using Multilayer Perceptron (MLP)

Author

Hüseyin Göksu
David J. Pommerenke, Missouri University of Science and TechnologyFollow
Donald C. Wunsch, Missouri University of Science and TechnologyFollow

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.

Recommended Citation

H. Göksu et al., "FDTD Data Extrapolation using Multilayer Perceptron (MLP)," IEEE International Symposium on Electromagnetic Compatibility, vol. 2, pp. 735 - 737, Institute of Electrical and Electronics Engineers, Oct 2003.

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

Keywords and Phrases

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

International Standard Serial Number (ISSN)

0190-1494

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

20 Oct 2003