1 to 10 of 16 Results
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" |
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" |
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" |
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" |
Nov 2, 2022 -
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
RAR Archive - 4.9 MB -
MD5: 2bbf50daf95d7202805cae40478ab4f6
Dissolved and total contaminant concentration data generated with the Freundlich sorption isotherm. |
Jul 21, 2020 - PINN Dynamic System
Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-633, DaRUS, V1
This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs ne... |
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. |
Nov 2, 2022 -
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
RAR Archive - 4.6 MB -
MD5: 13fc5f6002a31acb194132b43364068d
Dissolved and total contaminant concentration data generated with the Langmuir sorption isotherm. |
Nov 2, 2022 -
Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network
RAR Archive - 4.9 MB -
MD5: d3d4f64769bbcc9f269ae8f7da229e86
Dissolved and total contaminant concentration data generated with the linear sorption isotherm. |
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. |