Modeling strength enhancement of FRP confined concrete cylinders using soft computing
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Cevik20115662,
-
author = "Abdulkadir Cevik",
-
title = "Modeling strength enhancement of FRP confined concrete
cylinders using soft computing",
-
journal = "Expert Systems with Applications",
-
volume = "38",
-
number = "5",
-
pages = "5662--5673",
-
year = "2011",
-
ISSN = "0957-4174",
-
DOI = "doi:10.1016/j.eswa.2010.10.069",
-
URL = "http://www.sciencedirect.com/science/article/B6V03-51CJ387-J/2/4b0e7942a4c46980f638964d442e332a",
-
keywords = "genetic algorithms, genetic programming, Soft
computing, Neural networks, Neuro-fuzzy, Stepwise
regression, FRP confinement, Concrete cylinder,
Strength enhancement",
-
abstract = "This study presents the application of soft computing
techniques namely as genetic programming (GP) and
stepwise regression (SR), neuro-fuzzy (NF) and neural
networks (NN) for modelling of strength enhancement of
FRP (fibre-reinforced polymer) confined concrete
cylinders. The proposed soft computing models are based
on experimental results collected from literature. The
accuracy of the proposed soft computing models are
quite satisfactory as compared to experimental results.
Moreover the results of proposed soft computing
formulations are compared with 10 models existing in
the literature proposed by various researchers so far
and are found to be by far more accurate.",
- }
Genetic Programming entries for
Abdulkadir Cevik
Citations