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

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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]
Copyright of Advances in Water Resources is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 95723958
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Use of Gene Expression Programming in regionalization of flow duration curve.
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  Data: <searchLink fieldCode="AR" term="%22Hashmi%2C+Muhammad+Z%2E%22">Hashmi, Muhammad Z.</searchLink><relatesTo>1</relatesTo><i> mhas074@aucklanduni.ac.nz</i><br /><searchLink fieldCode="AR" term="%22Shamseldin%2C+Asaad+Y%2E%22">Shamseldin, Asaad Y.</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Advances+in+Water+Resources%22">Advances in Water Resources</searchLink>. Jun2014, Vol. 68, p1-12. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Gene+Express+Inc%2E%22">Gene Express Inc.</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Scheme+programming+language%22">Scheme programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Watersheds%22">Watersheds</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Advances in Water Resources is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=95723958
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.advwatres.2014.02.009
    Languages:
      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 1
    Subjects:
      – SubjectFull: Gene Express Inc.
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Scheme programming language
        Type: general
      – SubjectFull: Watersheds
        Type: general
    Titles:
      – TitleFull: Use of Gene Expression Programming in regionalization of flow duration curve.
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            NameFull: Hashmi, Muhammad Z.
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            NameFull: Shamseldin, Asaad Y.
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            – D: 01
              M: 06
              Text: Jun2014
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              Y: 2014
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              Value: 68
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            – TitleFull: Advances in Water Resources
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