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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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Taylor & Francis Group
2017-12-01
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| coleção: | Geomatics, Natural Hazards & Risk |
| Assuntos: | |
| Acesso em linha: | http://dx.doi.org/10.1080/19475705.2016.1176604 |
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