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Feb 15, 2021 - 2d microstructure data
Hierarchical Data Format - 967.9 MB - MD5: 8d93bd9af6585b0f63257c571920752c
hdf5 file containing all the data
Feb 15, 2021 - 2d microstructure data
Python Source Code - 2.3 KB - MD5: 8088ddd98656e04611bdf589220baf99
code to recompute/reproduce the data used for the regression problem
Feb 15, 2021 - 2d microstructure data
Python Source Code - 1.9 KB - MD5: be74203ddeb47af439f3cbc33594ac92
an example on how to access data stored in the hdf5 file
Feb 15, 2021 - 2d microstructure data
Python Source Code - 3.8 KB - MD5: 24355f5d0f71131cf836137a375fce75
dependency file for 'compute_regression_data.py'
MS Excel Spreadsheet - 19.1 KB - MD5: 9b88868eeef277937d0c729615e217de
ANN parameters for the regularization method "MSE+L2+PHY"
MS Excel Spreadsheet - 18.7 KB - MD5: 9a85fe1d359cb162a8c4bc183545ce46
ANN parameters for the regularization method "MSE+L2"
MS Excel Spreadsheet - 19.0 KB - MD5: 1b13a37e8fb1bf8ee2630519982ae0e4
ANN parameters for the regularization method "MSE+PHY"
MS Excel Spreadsheet - 18.5 KB - MD5: ed241c309250b1d17eb682b750fa1244
ANN parameters for the regularization method "MSE"
Markdown Text - 3.0 KB - MD5: 3aa442599a974dcf6b70ad2c45da506c
README file explaining how the data is formatted
MATLAB Data - 493.4 MB - MD5: 4368b82d61d591e5e7b76228741d13ae
This .mat file contains unprocessed input-output data pairs needed to train, validate, and test the ANN.
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