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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Bibliographic Details
Published in:PLoS One
Main Authors: Asim, Khawaja M., Idris, Adnan, Iqbal, Talat, Martínez-Álvarez, Francisco
Format: Artigo
Language:Inglês
Published: Public Library of Science 2018
Subjects:
Research Article
Online Access: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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