Assessment of Arias Intensity of historical earthquakes using modified Mercalli intensities and artificial neural networks
This paper presents the development of a non-parametric forecast model based on artificial neural networks for the direct assessment of Arias Intensity corresponding to a historic earthquake using seismic intensity data. The neural models allow complex and nonlinear behaviour to be tracked. Applicat...
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2011-12-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | http://www.nat-hazards-earth-syst-sci.net/11/3097/2011/nhess-11-3097-2011.pdf |
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doaj-71a458289f5841d3815ea7f422db23632020-11-24T21:09:50ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812011-12-0111123097310510.5194/nhess-11-3097-2011Assessment of Arias Intensity of historical earthquakes using modified Mercalli intensities and artificial neural networksG-A. TselentisThis paper presents the development of a non-parametric forecast model based on artificial neural networks for the direct assessment of Arias Intensity corresponding to a historic earthquake using seismic intensity data. The neural models allow complex and nonlinear behaviour to be tracked. Application of this methodology on earthquakes with known instrumental data from Greece, showed that the artificial neural network forecast model have excellent data synthesis capability.http://www.nat-hazards-earth-syst-sci.net/11/3097/2011/nhess-11-3097-2011.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
G-A. Tselentis |
spellingShingle |
G-A. Tselentis Assessment of Arias Intensity of historical earthquakes using modified Mercalli intensities and artificial neural networks Natural Hazards and Earth System Sciences |
author_facet |
G-A. Tselentis |
author_sort |
G-A. Tselentis |
title |
Assessment of Arias Intensity of historical earthquakes using modified Mercalli intensities and artificial neural networks |
title_short |
Assessment of Arias Intensity of historical earthquakes using modified Mercalli intensities and artificial neural networks |
title_full |
Assessment of Arias Intensity of historical earthquakes using modified Mercalli intensities and artificial neural networks |
title_fullStr |
Assessment of Arias Intensity of historical earthquakes using modified Mercalli intensities and artificial neural networks |
title_full_unstemmed |
Assessment of Arias Intensity of historical earthquakes using modified Mercalli intensities and artificial neural networks |
title_sort |
assessment of arias intensity of historical earthquakes using modified mercalli intensities and artificial neural networks |
publisher |
Copernicus Publications |
series |
Natural Hazards and Earth System Sciences |
issn |
1561-8633 1684-9981 |
publishDate |
2011-12-01 |
description |
This paper presents the development of a non-parametric forecast model based on artificial neural networks for the direct assessment of Arias Intensity corresponding to a historic earthquake using seismic intensity data. The neural models allow complex and nonlinear behaviour to be tracked. Application of this methodology on earthquakes with known instrumental data from Greece, showed that the artificial neural network forecast model have excellent data synthesis capability. |
url |
http://www.nat-hazards-earth-syst-sci.net/11/3097/2011/nhess-11-3097-2011.pdf |
work_keys_str_mv |
AT gatselentis assessmentofariasintensityofhistoricalearthquakesusingmodifiedmercalliintensitiesandartificialneuralnetworks |
_version_ |
1716757332271038464 |