Support Vector Regression for the Relationships between Ground Motion Parameters and Macroseismic Intensity in the Sichuan–Yunnan Region

Support Vector Regression for the Relationships between Ground Motion Parameters and Macroseismic Intensity in the Sichuan–Yunnan Region

In this paper, a nonlinear regression method called a support vector regression (SVR) is presented to establish the relationship between engineering ground motion parameters and macroseismic intensity (MSI). Sixteen ground motion parameters, including peak ground acceleration (PGA), peak ground velo...

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Bibliographic Details
Main Authors: Dongwang Tao, Qiang Ma, Shuilong Li, Zhinan Xie, Dexin Lin, Shanyou Li
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
macroseismic intensity
ground motion parameters
support vector regression
Sichuan–Yunnan region
linear regression
PGA
Online Access:https://www.mdpi.com/2076-3417/10/9/3086

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