Multivariate Adaptive Regression Splines Model for Prediction of Local Scour Depth Downstream of an Apron Under 2D Horizontal Jets
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s40996-018-0151-y.pdf
Reference51 articles.
1. Adamowski J, Chan HF, Prasher SO, Sharda VN (2012) Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data. J Hydroinform 14(3):731–744
2. Adoko AC, Jiao YY, Wu L, Wang H, Wang ZH (2013) Predicting tunnel convergence using multivariate adaptive regression spline and artificial neural network. Tunn Undergr Space Technol 38:368–376
3. Alavi AH, Gandomi AH (2011) Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing. Comput Struct 89(23):2176–2194
4. Azamathulla HM (2012) Gene expression programming for prediction of scour depth downstream of sills. J Hydrol 460:156–159
5. Azamathulla HM, Deo MC, Deolalikar PB (2008a) Alternative neural networks to estimate the scour below spillways. Adv Eng Softw 39(8):689–698
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