SimTech Project PN 5-6 "Physics-informed ANNs for dynamic, distributed and stochastic systems"
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RAR Archive - 4.9 MB - MD5: 2bbf50daf95d7202805cae40478ab4f6
Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm.
RAR Archive - 4.6 MB - MD5: 13fc5f6002a31acb194132b43364068d
Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm.
RAR Archive - 4.9 MB - MD5: d3d4f64769bbcc9f269ae8f7da229e86
Dissolved and total contaminant concentration data generated with the linear sorption isotherm.
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.
MATLAB Data - 93.0 MB - MD5: 5969cb06f84d4ed2348759c6091666eb
This .mat file contains processed input-output data pairs needed to train, validate, and test the ANN.
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