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Social vulnerability assessment using artificial neural network (ANN) model for earthquake hazard in Tabriz city, Iran

This study presents the application of an artificial neural network (ANN) and geographic information system (GIS) for estimating the social vulnerability to earthquakes in the Tabriz city, Iran. Thereby, seven indicators were identified and used for earthquake vulnerability mapping, including popula...

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Bibliographic Details
Main Authors: Alizadeh, Mohsen, Alizadeh, Esmaeil, Kotenaee, Sara Asadollahpour, Shahabi, Himan, Pour, Amin Beiranvand, Panahi, Mahdi, Ahmad, Baharin, Saro, Lee
Format: Article
Language:English
Published: MDPI AG 2018
Subjects:
HT101-395 Sociology, Urban
Online Access:http://eprints.utm.my/id/eprint/86196/1/MohsenAlizadeh2018_SocialVulnerabilityAssessmentUsingArtificialNeural.pdf
http://eprints.utm.my/id/eprint/86196/
http://dx.doi.org/10.3390/su10103376
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http://eprints.utm.my/id/eprint/86196/1/MohsenAlizadeh2018_SocialVulnerabilityAssessmentUsingArtificialNeural.pdf
http://eprints.utm.my/id/eprint/86196/
http://dx.doi.org/10.3390/su10103376

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