Prediction of River Pipeline Scour Depth Using Multivariate Adaptive Regression Splines
Author:
Affiliation:
1. Associate Professor, Dept. of Water Engineering, Lorestan Univ., P.O. Box 465, Khorramabad, Iran.
Publisher
American Society of Civil Engineers (ASCE)
Subject
Mechanical Engineering,Civil and Structural Engineering
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000248
Reference32 articles.
1. Turbulence Model Sensitivity and Scour Gap Effect of Unsteady Flow around Pipe: A CFD Study
2. Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams
3. Soft computing for prediction of river pipeline scour depth
4. Closure to “Estimation of Critical Velocity for Slurry Transport through Pipeline Using Adaptive Neuro-Fuzzy Interference System and Gene-Expression Programming” by H. Md. Azamathulla and Z. Ahmad
5. Alternative neural networks to estimate the scour below spillways
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