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Geocarto International Volume 37, 2022 - Issue 15

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Original Articles

GIS-based seismic vulnerability mapping: a comparison of artificial neural networks hybrid models

Peyman Yariyana Department of Surveying Engineering, Islamic Azad University Saghez Branch, Saghez, IranCorrespondence[email protected]

Rahim Ali Abbaspourb School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran

https://orcid.org/0000-0002-7133-3844

Alireza Chehreghanc Faculty of Mining Engineering, Sahand University of Technology, Tabriz, Iran

MohammadReza Karamid Department of Social Science, Faculty of Humanities and Social Sciences, Payame Noor University, Tehran, Iran

Artemi Cerdàe Soil Erosion and Degradation Research Group. Department of Geography, Valencia University, Valencia, Spain

https://orcid.org/0000-0001-5326-4489

Pages 4312-4335 | Received 20 Sep 2020, Accepted 01 Feb 2021, Published online: 08 Mar 2021

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https://doi.org/10.1080/10106049.2021.1892208
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