An Earthquake Fatalities Assessment Method Based on Feature Importance with Deep Learning and Random Forest Models

An Earthquake Fatalities Assessment Method Based on Feature Importance with Deep Learning and Random Forest Models

This study aims to analyze and compare the importance of feature affecting earthquake fatalities in China mainland and establish a deep learning model to assess the potential fatalities based on the selected factors. The random forest (RF) model, classification and regression tree (CART) model, and...

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Bibliographic Details
Main Authors: Hanxi Jia, Junqi Lin, Jinlong Liu
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sustainability
Subjects:
earthquake fatalities
deep learning
random forest
feature importance
structure type
Online Access:https://www.mdpi.com/2071-1050/11/10/2727

Internet

https://www.mdpi.com/2071-1050/11/10/2727

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