data_set_ANN + results
<p><strong>Excel sheets:</strong></p> <p> </p> <p><strong>IN</strong> - input (independent) variable values for all 64 data points</p> <p> variable ID 1 = frequency of the 1<sup>st</sup> free vibration mode (Hz)</p> <p> variable ID 3 = frequency of the 2<sup>nd</sup> free vibration mode (Hz)</p> <p> variable ID 3 = frequency of the 3<sup>rd</sup> free vibration mode (Hz)</p> <p> </p> <p><strong>TARGET</strong> - target (dependent) variable values for all 64 data points</p> <p> variable ID 1 = damage location (m) = distance from beam edge</p> <p> </p> <p><strong>TARGET vs OUTPUT</strong> - target (expected) vs. output (yielded by the proposed ANN) values</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/328870831_12_Neural_Networks_-_Structural_Damage_-_Localization">https://www.researchgate.net/publication/328870831_12_Neural_Networks_-_Structural_Damage_-_Localization</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