Machine learning techniques for estimating seismic site amplification in the Santiago basin, Chile
Journal
Engineering Geology
ISSN
0013-7952
Date Issued
2022
Author(s)
J.P. Díaz
E. Sáez
M. Monsalve
F. Aron
G. González
Type
Resource Types::text::journal::journal article
URL Institutional Repository
Project(s)
Subjects
surface geology
;
soil
;
interpolation
;
forest
;
v-s30
;
model
;
map
;
chile
;
metropolitana
;
decision making
;
forecasting
;
frequency estimation
;
hazards
;
learning algorithms
;
machine learning
;
seismic response
;
shear flow
;
shear waves
;
covariates
;
machine learning techniques
;
machine-learning
;
measurements of
;
predominant frequency
;
seismic hazard maps
;
seismic hazards
;
seismic site amplification
;
seismic sites
;
site amplification
;
amplification
;
decision making
;
estimation method
;
frequency analysis
;
hazard assessment
;
machine learning
;
seismic hazard
;
amplification