Recurrent Convolutional Neural Networks help to predict location of Earthquakes

20 Apr 2020Roman KailAlexey ZaytsevEvgeny Burnaev

We examine the applicability of modern neural network architectures to the midterm prediction of earthquakes. Our data-based classification model aims to predict if an earthquake with the magnitude above a threshold takes place at a given area of size $10 \times 10$ kilometers in $10$-$60$ days from a given moment... (read more)

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