کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4577019 | 1629994 | 2012 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Gene-expression programming for transverse mixing coefficient Gene-expression programming for transverse mixing coefficient](/preview/png/4577019.png)
SummaryThis study presents gene-expression programming (GEP), which is an extension of genetic programming (GP), as an alternative approach to predict the transverse mixing coefficient in open channel flows. Laboratory data were collected in the present study and also from the literature for the transverse mixing coefficient covering wide range of flow conditions. These data were used for the development and testing of the proposed method. A functional relation for the estimation of transverse mixing coefficient has been developed using GEP. The proposed GEP approach produced satisfactory results compared to the existing predictors for the transverse mixing coefficient.
► This study presents gene-expression programming (GEP) to predict the transverse mixing coefficient in open channel flows.
► A functional relation for transverse mixing coefficient has been developed using GEP.
► The proposed GEP approach produces satisfactory results compared to the existing predictors for the mixing coefficient.
Journal: Journal of Hydrology - Volumes 434–435, 20 April 2012, Pages 142–148