Scouring at Bridge Piers Using Artificial Intelligence Models : Implementation and Prediction
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| Autore: |
Najafzadeh Mohammad
|
| Titolo: |
Scouring at Bridge Piers Using Artificial Intelligence Models : Implementation and Prediction
|
| Pubblicazione: | Reston : , : American Society of Civil Engineers, , 2025 |
| ©2025 | |
| Edizione: | 1st ed. |
| Descrizione fisica: | 1 online resource (351 pages) |
| Sommario/riassunto: | Author Mohammad Najafzadeh evaluates the effectiveness of four AI models--Gene-Expression Programming (GEP), Evolutionary Polynomial Regression (EPR), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS)--in predicting local scour depth at bridge piers, emphasizing their physical consistency and interpretability compared to traditional methods. |
| Titolo autorizzato: | Scouring at Bridge Piers Using Artificial Intelligence Models |
| ISBN: | 0-7844-8607-7 |
| 0-7844-8606-9 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911018856003321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
ASCE Press Series