FDTD Data Extrapolation Using Multilayer Perceptron (MLP)

H. Goksu
David Pommerenke, Missouri University of Science and Technology
Donald C. Wunsch, Missouri University of Science and Technology

This document has been relocated to http://scholarsmine.mst.edu/ele_comeng_facwork/1629

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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.