Published December 8, 2023 | Version v1

Data and the code for the paper "Modeling the Asymptotic Behavior of Higher-Order Aftershocks with Deep Learning"

  • 1. ETH Zurich

Description

The data used to train, validate and test the neural network model are available as the 3 csv files. Code used to train the model is available as in the file "trainDNNmodel.py". The saved model is available in the folder "trainedDNNmodel.tf"

Files

Test.csv

Files (5.6 MB)

Name Size
md5:a2971181c6f0647c11ec98535498e5dc
56 Bytes Download
md5:db229b5a1eff8d59bf64a95c8a25911f
10.2 kB Download
md5:7569758dbb5f2f613f6f4a0d6c54ac06
95.2 kB Download
md5:22e46cbff520d91dbd774ee42762250e
545.5 kB Preview Download
md5:1c1d1f504cdef73870fffbd129df7367
4.3 MB Preview Download
md5:adacef34cb5c094b1f7a78e70ca67417
5.1 kB Download
md5:24274e91bfd75a1d35128cd5d821a471
544.7 kB Preview Download
md5:63c161bb77ed0e5218c4a21d0262728d
57.3 kB Download
md5:731b63e5e932973d9948c9cc65c34824
1.4 kB Download