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.
H. Goksu et al., "FDTD Data Extrapolation Using Multilayer Perceptron (MLP)," Proceedings of the 2003 IEEE International Symposium on Electromagnetic Compatibility, 2003, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at http://dx.doi.org/10.1109/ISEMC.2003.1236698
2003 IEEE International Symposium on Electromagnetic Compatibility, 2003
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
Article - Conference proceedings
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