125,591 to 125,600 of 126,237 Results
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 |
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 necessary for training, validating, and testing the ANN. The input data... |
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. |
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. |
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 |
Jul 21, 2020 -
Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System
Shell Script - 5.2 MB -
MD5: 92f8320c9a0e19c57b61ba939e14a1df
An automated script to run all samples in DuMuX for reproduction of the input-output data contained in the 'io_data.mat' and 'noisy_data.mat'. Before running, the path to the DuMuX executables needs to be adjusted accordingly. |
Jul 8, 2020 - SFB-TRR 161 INF "Collaboration Infrastructure"
Müller, Christoph, 2020, "SFB/Transregio 161 Data Management Plan 2019-2023", https://doi.org/10.18419/DARUS-632, DaRUS, V1
The participating universities in SFB/Transregio 161 acknowledge the general importance of research data management as a vital issue for all of their work and provide increasing central support for long-term accessibility and reusability of data, documentation of methods and tools and privacy protection. However, technical and organisational offeri... |
Jul 8, 2020 -
SFB/Transregio 161 Data Management Plan 2019-2023
MS Word - 153.3 KB -
MD5: 2fa6460bf44e5879403a7f94f8d952a4
Original source document |
Jul 8, 2020 -
SFB/Transregio 161 Data Management Plan 2019-2023
Adobe PDF - 516.1 KB -
MD5: 743f7ce4d555e7dfa10876971aad21bc
Data Management Plan of SFB/Transregio 161 for the second funding period. |
Jul 7, 2020 -
FLP Telemetry Data
Bzip Archive - 43.0 MB -
MD5: 855d3ed1f4872eca0c0d5add490973a9
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