FDTD Data Extrapolation Using Multilayer Perceptron (MLP)

H. Goksu; David Pommerenke; Donald C. Wunsch

doi:10.1109/ISEMC.2003.1236698

FDTD Data Extrapolation Using Multilayer Perceptron (MLP)

H. Goksu
, David Pommerenke
, Donald C. Wunsch

Missouri University of Science and Technology

Research output: Contribution to journal › Article › peer-review

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 language	American English
Journal	Proceedings of the 2003 IEEE International Symposium on Electromagnetic Compatibility, 2003
DOIs	https://doi.org/10.1109/ISEMC.2003.1236698
State	Published - Jan 1 2003

Keywords

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

Disciplines

Electrical and Computer Engineering

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10.1109/ISEMC.2003.1236698License: Unspecified

FDTD Data Extrapolation Using Multilayer Perceptron (MLP)Final published version, 250 KBLicense: Unspecified

Cite this

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title = "FDTD Data Extrapolation Using Multilayer Perceptron (MLP)",

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.",

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

author = "H. Goksu and David Pommerenke and Wunsch, \{Donald C.\}",

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language = "American English",

journal = "Proceedings of the 2003 IEEE International Symposium on Electromagnetic Compatibility, 2003",

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AU - Goksu, H.

AU - Pommerenke, David

AU - Wunsch, Donald C.

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Y1 - 2003/1/1

N2 - 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.

AB - 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.

KW - Data Extrapolation

KW - EMC

KW - Eigenvalues and Eigenfunctions

KW - Extrapolation

KW - FDTD

KW - Finite Difference Time Domain

KW - Finite Difference Time-Domain Analysis

KW - Linear Eigenanalysis-Based Extrapolator

KW - MLP

KW - Matrix Pencil Method

KW - Multilayer Perceptron

KW - Multilayer Perceptrons

KW - Neural Networks

KW - Nonlinear Function

KW - Superposed Complex Exponentials

KW - Time Series

KW - Time Step

UR - https://scholarsmine.mst.edu/ele_comeng_facwork/1629

U2 - 10.1109/ISEMC.2003.1236698

DO - 10.1109/ISEMC.2003.1236698

M3 - Article

JO - Proceedings of the 2003 IEEE International Symposium on Electromagnetic Compatibility, 2003

JF - Proceedings of the 2003 IEEE International Symposium on Electromagnetic Compatibility, 2003

ER -

FDTD Data Extrapolation Using Multilayer Perceptron (MLP)

Abstract

Keywords

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