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Earthquake prediction model using support vector regressor and hybrid neural networks
Earthquake prediction has been a challenging research area, where a future occurrence of the devastating catastrophe is predicted. In this work, sixty seismic features are computed through employing seismological concepts, such as Gutenberg-Richter law, seismic rate changes, foreshock frequency, sei...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6033417/ https://ncbi.nlm.nih.gov/pubmed/29975687 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0199004 |
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