Seismic Building Damage Prediction From GIS-Based Building Data Using Artificial Intelligence System

Seismic Building Damage Prediction From GIS-Based Building Data Using Artificial Intelligence System

The estimation of seismic damage to buildings is complicated due to the many sources of uncertainties. This study aims to develop a new approach using an artificial intelligence system called adaptive neuro-fuzzy inference system (ANFIS) model to predict the damage of buildings at urban scale consid...

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Bibliographic Details
Main Authors: Chayanon Hansapinyo, Panon Latcharote, Suchart Limkatanyu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Built Environment
Subjects:
earthquake
building damage
neural network
fuzzy
ANFIS
uncertainty
Online Access:https://www.frontiersin.org/article/10.3389/fbuil.2020.576919/full

Internet

https://www.frontiersin.org/article/10.3389/fbuil.2020.576919/full

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