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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Detalles Bibliográficos
Autores principales: Asim, Khawaja M., Idris, Adnan, Iqbal, Talat, Martínez-Álvarez, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033417/
https://www.ncbi.nlm.nih.gov/pubmed/29975687
http://dx.doi.org/10.1371/journal.pone.0199004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033417/
https://www.ncbi.nlm.nih.gov/pubmed/29975687
http://dx.doi.org/10.1371/journal.pone.0199004

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