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One neuron versus deep learning in aftershock prediction
by
Broccardo, Marco
, Mignan, Arnaud
in
Accuracy
/ Aftershocks
/ Analytics
/ Artificial intelligence
/ Deep learning
/ Earthquake prediction
/ Earthquakes
/ Machine learning
/ Parameters
/ Regression analysis
/ Statistical analysis
/ Statistical methods
2019
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One neuron versus deep learning in aftershock prediction
by
Broccardo, Marco
, Mignan, Arnaud
in
Accuracy
/ Aftershocks
/ Analytics
/ Artificial intelligence
/ Deep learning
/ Earthquake prediction
/ Earthquakes
/ Machine learning
/ Parameters
/ Regression analysis
/ Statistical analysis
/ Statistical methods
2019
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Do you wish to request the book?
One neuron versus deep learning in aftershock prediction
by
Broccardo, Marco
, Mignan, Arnaud
in
Accuracy
/ Aftershocks
/ Analytics
/ Artificial intelligence
/ Deep learning
/ Earthquake prediction
/ Earthquakes
/ Machine learning
/ Parameters
/ Regression analysis
/ Statistical analysis
/ Statistical methods
2019
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Journal Article
One neuron versus deep learning in aftershock prediction
2019
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Overview
[...]we reformulate the 2017 results2 using two-parameter logistic regression (that is, one neuron) and obtain the same performance as that of the 13,451-parameter DNN. [...]we strongly believe that deep learning is revolutionizing data analytics in many domains12,13, including statistical seismology14. [...]the objective of our study is not to restrain its use in this field, but to stimulate a further research effort15. Online content Any methods, additional references, Nature Research reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at https://doi.org/10.1038/s41586-019-1582-8.
Publisher
Nature Publishing Group
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