Evaluating the accuracy of predicted bridge condition using machine learning: the role of condition history
| Autor(en): |
Parham Paydavosi
(Department of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran)
Mohammad Saied Dehghani (Department of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran) Sue McNeil (Department of Civil and Environmental Engineering, University of Delaware and School of Civil Engineering, University of New South Wales, , DE,) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structure and Infrastructure Engineering |
| Seite(n): | 1-13 |
| DOI: | 10.1080/15732479.2023.2274878 |
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Datenseite - Reference-ID
10749297 - Veröffentlicht am:
14.01.2024 - Geändert am:
14.01.2024
Structurae kooperiert mit
