Modeling of arsenic, chromium and cadmium removal by nanofiltration process using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Okhovat2012793,
-
author = "Ahmad Okhovat and Seyed Mahmoud Mousavi",
-
title = "Modeling of arsenic, chromium and cadmium removal by
nanofiltration process using genetic programming",
-
journal = "Applied Soft Computing",
-
volume = "12",
-
number = "2",
-
pages = "793--799",
-
year = "2012",
-
ISSN = "1568-4946",
-
DOI = "doi:10.1016/j.asoc.2011.10.012",
-
URL = "http://www.sciencedirect.com/science/article/pii/S1568494611004066",
-
keywords = "genetic algorithms, genetic programming,
Nanofiltration, Modelling, Heavy metals removal",
-
size = "7 pages",
-
abstract = "In this paper, genetic programming (GP) as a novel
approach for the explicit formulation of nanofiltration
(NF) process performance is presented. The objective of
this study is to develop robust models based on
experimental data for prediction the membrane rejection
of arsenic, chromium and cadmium ions in a NF
pilot-scale system using GP. Feed concentration and
transmembrane pressure were considered as input
parameters of the models. The ions rejection is
considered as output parameter of the models. Some
statistical parameters were considered and calculated
in order to investigate the reliability of each model.
The results showed quite satisfactory accuracies of the
proposed models based on GP. The results also nominated
GP as a potential tool for identifying the behaviour of
a NF system.",
-
bibdate = "2012-01-03",
-
bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/asc/asc12.html#OkhovatM12",
- }
Genetic Programming entries for
Ahmad Okhovat
Seyed Mahmoud Mousavi
Citations