Evaluating the accuracy of predicted bridge condition using machine learning: the role of condition history
Auteur(s): |
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,) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structure and Infrastructure Engineering |
Page(s): | 1-13 |
DOI: | 10.1080/15732479.2023.2274878 |
- Informations
sur cette fiche - Reference-ID
10749297 - Publié(e) le:
14.01.2024 - Modifié(e) le:
14.01.2024