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.

Meeting Name

2003 IEEE International Symposium on Electromagnetic Compatibility, 2003

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

EMC; FDTD; MLP; Data Extrapolation; Eigenvalues and Eigenfunctions; Extrapolation; Finite Difference Time Domain; Finite Difference Time-Domain Analysis; Linear Eigenanalysis-Based Extrapolator; Matrix Pencil Method; Multilayer Perceptron; Multilayer Perceptrons; Neural Networks; Nonlinear Function; Superposed Complex Exponentials; Time Series; Time Step

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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