GIS-based seismic vulnerability mapping: a comparison of artificial neural networks hybrid models-Reference-Cited by-同舟云学术

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

Published:2021-03-08 Issue: Volume: Page:1-24
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Yariyan Peyman¹,Ali Abbaspour Rahim²^ORCID,Chehreghan Alireza³,Karami MohammadReza⁴,Cerdà Artemi⁵^ORCID

Affiliation:

1. Department of Surveying Engineering, Islamic Azad University Saghez Branch, Saghez, Iran

2. School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran

3. Faculty of Mining Engineering, Sahand University of Technology, Tabriz, Iran

4. Department of Social Science, Faculty of Humanities and Social Sciences, Payame Noor University, Tehran, Iran

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

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1892208

Reference80 articles.

1. Effect of Damping Modeling and Characteristics on Seismic Vulnerability Assessment of Multi-Frame Bridges

2. Possibility of Groundwater Pollution in Halabja Saidsadiq Hydrogeological Basin, Iraq Using Modified DRASTIC Model Based on AHP and Tritium Isotopes

3. Probabilistic seismic hazard assessment of southern part of Ghana

4. GEOSTATISTICAL SEISMIC ANALYSIS AND HAZARD ASSESSMENT; UNITED ARAB EMIRATES

5. Assessment of Urban Physical Seismic Vulnerability Using the Combination of AHP and TOPSIS Models: A Case Study of Residential Neighborhoods of Mymensingh City, Bangladesh

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2. A digital twin prototype to visualize heterogeneous seismic damage simulation results on web-GIS;Journal of Asian Architecture and Building Engineering;2024-04-22

3. An Innovative Fusion of New Smile Random Forest and Fuzzy Analysis for Comprehensive Seismic hazard Assessment: A Case Study in Mersin, Türkiye;2024-02-27

4. Determination of Local and Global Decision Weights Based on Fuzzy Modeling;Neural Information Processing;2023-11-14

5. Using Artificial Neural Networks to Assess Earthquake Vulnerability in Urban Blocks of Tehran;Remote Sensing;2023-02-24

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