Genetic Programming to Predict Bridge Pier Scour

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@Article{Azamathulla:2010:JHE,

• author = "H. Md. Azamathulla and Aminuddin {Ab Ghani} and Nor Azazi Zakaria and Aytac Guven",
• title = "Genetic Programming to Predict Bridge Pier Scour",
• journal = "Journal of Hydraulic Engineering",
• year = "2010",
• volume = "136",
• number = "3",
• pages = "165--169",
• keywords = "genetic algorithms, genetic programming, Local scour, Bridge pier, Artificial neural networks, Radial basis function",
• DOI = "doi:10.1061/(ASCE)HY.1943-7900.0000133",
• size = "5 page",
• abstract = "Bridge pier scouring is a significant problem for the safety of bridges. Extensive laboratory and field studies have been conducted examining the effect of relevant variables. This note presents an alternative to the conventional regression-based equations (HEC-18 and regression equation developed by authors), in the form of artificial neural networks (ANNs) and genetic programming (GP). 398 data sets of field measurements were collected from published literature and used to train the network or evolve the program. The developed network and evolved programs were validated by using the observations that were not involved in training. The performance of GP was found more effective when compared to regression equations and ANNs in predicting the scour depth of bridge piers.",

}

Genetic Programming entries for Hazi Mohammad Azamathulla Aminuddin Ab Ghani Nor Azazi Zakaria Aytac Guven

Citations