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100   $a20250705d2025      uy         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aScouring at Bridge Piers Using Artificial Intelligence Models $eImplementation and Prediction
205   $a1st ed.
210  1$aReston :$cAmerican Society of Civil Engineers,$d2025.
210  4$dİ2025.
215   $a1 online resource (351 pages)
225 1 $aASCE Press Series
311 08$a0-7844-1633-8 
330   $aAuthor Mohammad Najafzadeh evaluates the effectiveness of four AI models--Gene-Expression Programming (GEP), Evolutionary Polynomial Regression (EPR), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS)--in predicting local scour depth at bridge piers, emphasizing their physical consistency and interpretability compared to traditional methods.
410  0$aASCE Press Series
700   $aNajafzadeh$b Mohammad$01827876
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911018856003321
996   $aScouring at Bridge Piers Using Artificial Intelligence Models$94422384
997   $aUNINA