Using Artificial Neural Networks to Assess Earthquake Vulnerability in Urban Blocks of Tehran

Using Artificial Neural Networks to Assess Earthquake Vulnerability in Urban Blocks of Tehran

The purpose of this study is to assess the vulnerability of urban blocks to earthquakes for Tehran as a city built on geological faults using an artificial neural network—multi-layer perceptron (ANN-MLP). Therefore, we first classified earthquake vulnerability evaluation criteria into three categori...

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Bibliographic Details
Main Authors: Rasoul Afsari, Saman Nadizadeh Shorabeh, Amir Reza Bakhshi Lomer, Mehdi Homaee, Jamal Jokar Arsanjani
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
vulnerability
earthquake
risk assessment
artificial neural networks
Tehran
Online Access:https://www.mdpi.com/2072-4292/15/5/1248

Internet

https://www.mdpi.com/2072-4292/15/5/1248

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