Generation of critical aftershocks using stochastic neural networks and wavelet packet transform

This paper proposes a methodology using wavelet packet transform, principal component analysis, and neural networks in order to generate artificial critical aftershock accelerograms which are compatible with the response spectra. This procedure uses the learning abilities of neural networks, princip...

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Bibliographic Details

Published in:	Journal of vibration and control Vol. 26; no. 5-6; pp. 331 - 351
Main Authors:	Rajabi, Elham, Ghodrati Amiri, Gholamreza
Format:	Journal Article
Language:	English
Published:	London, England SAGE Publications 01-03-2020 SAGE PUBLICATIONS, INC
Subjects:	Aftershocks Earthquake accelerograms Earthquakes Mapping Neural networks Principal components analysis Seismic activity Wavelet analysis Wavelet transforms artificial neural network Artificial critical aftershocks wavelet packet transform principal component analysis response spectrum
Online Access:	Get full text
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