Stochastic Simulation and Safety Research for Hydrosystems (LS3)

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131 to 140 of 143 Results

Modeling Strategies for Gas migration in Subsurface (IWS, Universität Stuttgart) Mar 12, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3) This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.
Stochastic Simulation and Safety Research for Hydrosystems (LS3)(Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart) Mar 12, 2021Projects without PN Affiliation This dataverse contains data associated with the projects (as sub-dataverses) of LS3.
ANN_params_MSE_L2_PHY.xlsx Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System MS Excel Spreadsheet - 19.1 KB - MD5: 9b88868eeef277937d0c729615e217de ANN parameters for the regularization method "MSE+L2+PHY"
ANN_params_MSE_L2.xlsx Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System MS Excel Spreadsheet - 18.7 KB - MD5: 9a85fe1d359cb162a8c4bc183545ce46 ANN parameters for the regularization method "MSE+L2"
ANN_params_MSE_PHY.xlsx Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System MS Excel Spreadsheet - 19.0 KB - MD5: 1b13a37e8fb1bf8ee2630519982ae0e4 ANN parameters for the regularization method "MSE+PHY"
ANN_params_MSE.xlsx Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System MS Excel Spreadsheet - 18.5 KB - MD5: ed241c309250b1d17eb682b750fa1244 ANN parameters for the regularization method "MSE"
README.md Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System Markdown Text - 3.0 KB - MD5: 3aa442599a974dcf6b70ad2c45da506c README file explaining how the data is formatted
io_data.mat Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System MATLAB Data - 493.4 MB - MD5: 4368b82d61d591e5e7b76228741d13ae This .mat file contains unprocessed input-output data pairs needed to train, validate, and test the ANN.
noisy_data.mat Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System MATLAB Data - 93.0 MB - MD5: 5969cb06f84d4ed2348759c6091666eb This .mat file contains processed input-output data pairs needed to train, validate, and test the ANN.
README.md Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System Markdown Text - 5.8 KB - MD5: 8feed08cd30f2e759181799d8ed814e1 README file explaining how the data is formatted

Modeling Strategies for Gas migration in Subsurface (IWS, Universität Stuttgart)

Mar 12, 2021Stochastic Simulation and Safety Research for Hydrosystems (LS3)

This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.

Stochastic Simulation and Safety Research for Hydrosystems (LS3)(Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart)

Mar 12, 2021Projects without PN Affiliation

This dataverse contains data associated with the projects (as sub-dataverses) of LS3.

ANN_params_MSE_L2_PHY.xlsx

Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

MS Excel Spreadsheet - 19.1 KB -

ANN parameters for the regularization method "MSE+L2+PHY"

ANN_params_MSE_L2.xlsx

Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

MS Excel Spreadsheet - 18.7 KB -

ANN parameters for the regularization method "MSE+L2"

ANN_params_MSE_PHY.xlsx

Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

MS Excel Spreadsheet - 19.0 KB -

ANN parameters for the regularization method "MSE+PHY"

ANN_params_MSE.xlsx

Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

MS Excel Spreadsheet - 18.5 KB -

ANN parameters for the regularization method "MSE"

README.md

Jul 21, 2020 - Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System

Markdown Text - 3.0 KB -

README file explaining how the data is formatted

io_data.mat

Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

MATLAB Data - 493.4 MB -

This .mat file contains unprocessed input-output data pairs needed to train, validate, and test the ANN.

noisy_data.mat

Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

MATLAB Data - 93.0 MB -

This .mat file contains processed input-output data pairs needed to train, validate, and test the ANN.

README.md

Jul 21, 2020 - Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System

Markdown Text - 5.8 KB -

README file explaining how the data is formatted

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