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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Main Author: G-A. Tselentis
Format: Article
Language:English
Published: Copernicus Publications 2011-12-01
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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spelling 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
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