117,461 to 117,470 of 118,051 Results
PNG Image - 484.9 KB -
MD5: 35edbaeb5806c6a5064e480f8ba58986
This is the result of the model, generated with the python script for glass beads with amendment additions. |
PNG Image - 253.1 KB -
MD5: 7bf2d2eb16b464f63969c8079bcfa090
This is a smaller file-size version of the result of the model, generated with the python script for glass beads with amendment additions. |
Python Source Code - 12.7 KB -
MD5: ed44dd3e200cd8019166835d3b25ca23
This produces the plot for a coal system with up to two amendment additions starting on day 76. |
Python Source Code - 12.1 KB -
MD5: 826e48d7bd300b86fcfb22b368ac3a3b
This produces the plot for a coal system with up to three amendment additions (from day 0 on) |
Python Source Code - 12.0 KB -
MD5: 24096d9a676972bf0b29826aa104259f
This produces the plot for a glass beads system with up to three amendment additions. |
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 - 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 - 19.0 KB -
MD5: 1b13a37e8fb1bf8ee2630519982ae0e4
ANN parameters for the regularization method "MSE+PHY" |
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
Markdown Text - 3.0 KB -
MD5: 3aa442599a974dcf6b70ad2c45da506c
README file explaining how the data is formatted |