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ANN development + final testing datasets

<p><strong>File name&nbsp;definitions:</strong></p> <p>&#39;...v_50_175_250_300...&#39;&nbsp; - dataset for velocity ranges [50, 175] + [250, 300] m/s</p> <p>&#39;...v_175_250...&#39;&nbsp; - dataset for velocity range&nbsp;[175, 250]&nbsp;m/s</p> <p>&#39;ANNdevelop...&#39;&nbsp; - used to perform 9 parametric sub-analyses where, in each one, many ANNs are developed (trained, validated and tested)&nbsp;and the one yielding the best results is selected</p> <p>&#39;ANNtest...&#39;&nbsp; - used to test the best ANN from each aforementioned parametric&nbsp;sub-analysis, aiming to find the best ANN model; this dataset includes the&nbsp;&#39;ANNdevelop...&#39; counterpart</p> <p>&nbsp;</p> <p><strong>Where to find the input (independent) and target (dependent) variable values for each dataset/excel ?</strong></p> <p>input values in&nbsp;&#39;IN&#39; sheet&nbsp;</p> <p>target values in&nbsp;&#39;TARGET&#39; sheet</p> <p>&nbsp;</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 &#39;TARGET vs OUTPUT&#39;&nbsp;sheet</p> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>Check reference&nbsp;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

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