ANN development + final testing datasets
<p><strong>File name definitions:</strong></p> <p>'...v_50_175_250_300...' - dataset for velocity ranges [50, 175] + [250, 300] m/s</p> <p>'...v_175_250...' - dataset for velocity range [175, 250] m/s</p> <p>'ANNdevelop...' - used to perform 9 parametric sub-analyses where, in each one, many ANNs are developed (trained, validated and tested) and the one yielding the best results is selected</p> <p>'ANNtest...' - used to test the best ANN from each aforementioned parametric sub-analysis, aiming to find the best ANN model; this dataset includes the 'ANNdevelop...' counterpart</p> <p> </p> <p><strong>Where to find the input (independent) and target (dependent) variable values for each dataset/excel ?</strong></p> <p>input values in 'IN' sheet </p> <p>target values in 'TARGET' sheet</p> <p> </p> <p><strong>Where to find the results from the best ANN model (for each target/output variable and each velocity range)?</strong></p> <p>open the corresponding excel file and the expected (target) vs ANN (output) results are written in 'TARGET vs OUTPUT' sheet</p> <p> </p> <p> </p> <p><strong>Check reference below</strong> (to be added when the paper is published)</p> <p><a href="https://www.researchgate.net/publication/328849817_11_Neural_Networks_-_Max_Disp_-_Railway_Beams">https://www.researchgate.net/publication/328849817_11_Neural_Networks_-_Max_Disp_-_Railway_Beams</a></p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0