2011
DOI: 10.1007/s12205-011-1282-x
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GEP modeling of oxygen transfer efficiency prediction in aeration cascades

Abstract: Artificial intelligence is the area of computer science focusing on creating machines that can engage on behaviors that humans consider intelligent. In the past few years, the applications of artificial intelligence methods have attracted the attention of many investigators. Many artificial intelligence methods have been applied in various areas of civil and environmental engineering. The aim of this study is to develop models to estimate oxygen transfer efficiency in nappe, transition and skimming flow regime… Show more

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Cited by 23 publications
(8 citation statements)
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“…where C up (mol L -1 ) is the upstream concentration, C down (mol L -1 ) is the downstream concentration and C eq (mol L -1 ) is the dissolved gas concentration at equilibrium with the atmosphere. Equations derived from lab experiments predict aeration efficiency as a function of cascade total height and, if applicable, of additional morphological parameters of the cascade such as the height of intermediate steps, or the angle of the weir Baylar et al 2011;Essery et al 1978;Khdhiri et al 2014). The morphological characteristics of the hydraulic structure seem to be more reliable to predict aeration in cascades than the depth of the water layer.…”
Section: Discussionmentioning
confidence: 99%
“…where C up (mol L -1 ) is the upstream concentration, C down (mol L -1 ) is the downstream concentration and C eq (mol L -1 ) is the dissolved gas concentration at equilibrium with the atmosphere. Equations derived from lab experiments predict aeration efficiency as a function of cascade total height and, if applicable, of additional morphological parameters of the cascade such as the height of intermediate steps, or the angle of the weir Baylar et al 2011;Essery et al 1978;Khdhiri et al 2014). The morphological characteristics of the hydraulic structure seem to be more reliable to predict aeration in cascades than the depth of the water layer.…”
Section: Discussionmentioning
confidence: 99%
“…Baylar et al . () predicted oxygen transfer efficiency of cascades using GEP modelling. Kayadelen () studied soil liquefaction modelling by GEP.…”
Section: Introductionmentioning
confidence: 99%
“…Azamathulla et al (2011) used the GEP for the development of a stage-discharge curve of the Pahang River. Baylar et al (2011) predicted oxygen transfer efficiency of cascades using GEP modelling. Kayadelen (2011) studied soil liquefaction modelling by GEP.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, soft computing systems, such as neural networks, adaptive network based fuzzy inference system and least squares support vector machines, have been used in various areas of aeration-related research (Baylar et al, 2007(Baylar et al, , 2008(Baylar et al, , 2009(Baylar et al, , 2011Baylar & Batan 2010;Hanbay et al, 2009a, b). Among soft computing systems, genetic expression programming (GEP) was developed by (Ferreira, 2001) using fundamental principles of the genetic algorithms (GA) and genetic programming (GP).…”
Section: Introductionmentioning
confidence: 99%