Prediction of peak ground acceleration using ϵ-SVR, ν-SVR and Ls-SVR algorithm

Prediction of peak ground acceleration using ϵ-SVR, ν-SVR and Ls-SVR algorithm

In this paper, a prediction model is developed using support vector machine for forecasting the parameter associated with ground motion of a seismic signal. The prediction model is developed using three learning algorithms, ϵ-support vector regression, ν-support vector regression and least square-su...

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Bibliographic Details
Main Authors: Sonia Thomas, G.N. Pillai, Kirat Pal
Format: Article
Language:English
Published: Taylor & Francis Group 2017-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
pga
earthquake prediction
support vector regression
seismic risk
ls-svr
Online Access:http://dx.doi.org/10.1080/19475705.2016.1176604

Internet

http://dx.doi.org/10.1080/19475705.2016.1176604

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