01546nam 22004093 450 991101885600332120250705060239.00-7844-8607-70-7844-8606-9(CKB)39217205600041(MiAaPQ)EBC32189692(Au-PeEL)EBL32189692(OCoLC)1526860297(EXLCZ)993921720560004120250705d2025 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierScouring at Bridge Piers Using Artificial Intelligence Models Implementation and Prediction1st ed.Reston :American Society of Civil Engineers,2025.©2025.1 online resource (351 pages)ASCE Press Series0-7844-1633-8 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.ASCE Press SeriesNajafzadeh Mohammad1827876MiAaPQMiAaPQMiAaPQBOOK9911018856003321Scouring at Bridge Piers Using Artificial Intelligence Models4422384UNINA