Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea using Frequency Ratio, Decision Tree, and Random Forest

Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea using Frequency Ratio, Decision Tree, and Random Forest

The main purpose of this study was to compare the prediction accuracies of various seismic vulnerability assessment and mapping methods. We applied the frequency ratio (FR), decision tree (DT), and random forest (RF) methods to seismic data for Gyeongju, South Korea. A magnitude 5.8 earthquake occur...

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Bibliographic Details
Main Authors: Jihye Han, Jinsoo Kim, Soyoung Park, Sanghun Son, Minji Ryu
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sustainability
Subjects:
seismic vulnerability assessment
frequency ratio
decision tree
random forest
machine learning
Gyeongju Earthquake
Online Access:https://www.mdpi.com/2071-1050/12/18/7787

Internet

https://www.mdpi.com/2071-1050/12/18/7787

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