Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic Systemdoi:10.18419/darus-634DaRUS2020-07-211Praditia, Timothy, 2020, "Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-634, DaRUS, V1Trained ANN Parameters for Physics-inspired Artificial Neural Network for Dynamic Systemdoi:10.18419/darus-634Praditia, TimothyWalser, ThiloOladyshkin, SergeyNowak, WolfgangEXC-2075 – 390740016DaRUSNowak, WolfgangPraditia, Timothy2020-02-07Computer and Information ScienceEarth and Environmental SciencesArtificial Neural NetworkPhysics-based RegularizationPhysics Inspired Neural NetworkThermochemical Energy StorageThis dataset contains four .xlsx files containing trained values of the ANN weights and biases, along with the hyperparameter values at the end of the training (with noisy dataset). These four files correspond to four different regularization methods.Praditia, T. (2020): Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System, <a href="https://doi.org/10.18419/darus-633">doi: 10.18419/darus-633</a>, DaRUS.Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W.: Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture. Energies 2020Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W.: Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture. Energies 2020ANN_params_MSE.xlsxANN parameters for the regularization method "MSE"application/vnd.openxmlformats-officedocument.spreadsheetml.sheetANN_params_MSE_L2.xlsxANN parameters for the regularization method "MSE+L2"application/vnd.openxmlformats-officedocument.spreadsheetml.sheetANN_params_MSE_L2_PHY.xlsxANN parameters for the regularization method "MSE+L2+PHY"application/vnd.openxmlformats-officedocument.spreadsheetml.sheetANN_params_MSE_PHY.xlsxANN parameters for the regularization method "MSE+PHY"application/vnd.openxmlformats-officedocument.spreadsheetml.sheetREADME.mdREADME file explaining how the data is formattedtext/markdown