FDTD signal extrapolation using a finite impulse response neural network model

Authors
Wu, C Navarro, EA Navasquillo, J Litva, J
Citation
C. Wu et al., FDTD signal extrapolation using a finite impulse response neural network model, MICROW OPT, 21(5), 1999, pp. 325-330
Citations number
15
Categorie Soggetti
Optics & Acoustics
Journal title
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS
ISSN journal
08952477 → ACNP
Volume
21
Issue
5
Year of publication
1999
Pages
325 - 330
Database
ISI
SICI code
0895-2477(19990605)21:5<325:FSEUAF>2.0.ZU;2-5
Abstract
The finite impulse response (FIR) neural network technique is applied as a nonlinear predictor to extrapolate a time-series signal from FDTD simulatio ns. The FIR neural networks are trained by the temporal backpropagation lea rning algorithm. The model is applied to predict time-domain evolution in t he FDTD simulation of a wave-guide filter. (C) 1999 John Wiley & Sons, Inc.