Scouring at Bridge Piers Using Artificial Intelligence Models : Implementation and Prediction.
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 cons...
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| Format: | eBook |
| Language: | English |
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Reston :
American Society of Civil Engineers,
2025.
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| Series: | ASCE Press Series.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Physical Description: | 1 online resource (351 pages) |
| ISBN: | 9780784486061 0784486069 |