Discussion of “Prediction of River Pipeline Scour Depth Using Multivariate Adaptive Regression Splines” by Amir Hamzeh Haghiabi
Author:
Affiliation:
1. Head of Applied Research Group, Khorasan Razavi Water Authority, Southern Khayyam St. 35, 9185916196 Mashhad, 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.1949-1204.0000371
Reference12 articles.
1. Prediction of longitudinal dispersion coefficient in natural rivers using a cluster-based Bayesian network
2. Genetic Programming to Predict River Pipeline Scour
3. Soft computing for prediction of river pipeline scour depth
4. Prediction of scour below submerged pipeline crossing a river using ANN
5. Application of excel solver for parameter estimation of the nonlinear Muskingum models
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2. Discussion of ‘gene expression programming to predict local scour using laboratory and field data’ by praveen Rathod & V.L. Manekar (2020);ISH Journal of Hydraulic Engineering;2021-08-30
3. Quantifying Variable Importance in Predicting Critical Span Length and Scour Depth for Failure of Onshore River Crossing Pipelines Using ANN;Journal of Marine Science and Engineering;2020-10-26
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