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dataset + target vs output

<p>210 data points</p> <p><strong>meaning of each excel sheet:</strong></p> <p>IN - input variable values for each data point (each data point is one row)&nbsp;</p> <p>TARGET - target variable values for each data point&nbsp;(each data point is one row)&nbsp;</p> <p>VARS - presents the units used for each input (independent) and output/target (dependent) variables</p> <p>TARGET vs OUTPUT - presents the 210 expected (experimental) values and the ones obtained by the proposed ANN</p> <p>&nbsp;</p> <p><strong>Check reference&nbsp;below</strong>&nbsp;(to be added when the paper is published)</p> <p><a href="https://www.researchgate.net/publication/329932699_Neural_Networks_-_Shear_Strength_-_Corrugated_Web_Girders">https://www.researchgate.net/publication/329932699_Neural_Networks_-_Shear_Strength_-_Corrugated_Web_Girders</a></p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

Dataset details

Repository
zenodo
Published
December 15, 2018
License
cc-by-4.0
DOI
10.5281/zenodo.2336579

Scored with release 0.9.0

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