Use of Gene Expression Programming in regionalization of flow duration curve.

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Bibliographic Details
Title: Use of Gene Expression Programming in regionalization of flow duration curve.
Authors: Hashmi, Muhammad Z.1 mhas074@aucklanduni.ac.nz, Shamseldin, Asaad Y.2
Source: Advances in Water Resources. Jun2014, Vol. 68, p1-12. 12p.
Subjects: Gene Express Inc., Artificial intelligence, Regression analysis, Scheme programming language, Watersheds
Abstract: Highlights: [•] GEP as a new artificial intelligence technique has been employed to perform symbolic regression. [•] A parametric scheme has been developed for flow duration curve (FDC) regionalization. [•] Selected FDC properties are related with important catchment characteristics. [•] GEP application shows many advantages over traditional methods. [Copyright &y& Elsevier]
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Database: Engineering Source
Description
Abstract:Highlights: [•] GEP as a new artificial intelligence technique has been employed to perform symbolic regression. [•] A parametric scheme has been developed for flow duration curve (FDC) regionalization. [•] Selected FDC properties are related with important catchment characteristics. [•] GEP application shows many advantages over traditional methods. [Copyright &y& Elsevier]
ISSN:03091708
DOI:10.1016/j.advwatres.2014.02.009