Genetic Programming to Predict Bridge Pier Scour
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @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