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A new approach of obtaining reservoir operation rules: Artificial immune recognition system

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Title: A new approach of obtaining reservoir operation rules: Artificial immune recognition system
Authors: Wang, Xiao-Lin1 wangxiaolin_cug@163.com, Cheng, Jin-Hua1, Yin, Zheng-Jie2, Guo, Ming-Jing1
Source: Expert Systems with Applications. Sep2011, Vol. 38 Issue 9, p11701-11707. 7p.
Subjects: Computer simulation of immune system, Pattern recognition systems, Immune recognition, Data mining, Association rule mining, Radial basis functions, Distribution (Probability theory), Water-supply engineering
Abstract: Abstract: Artificial immune recognition system (AIRS) was employed in this paper as a new approach of data mining to extract operating rules on a case of water-supply reservoir, and the comparisons were performed between the operating rules obtained by the system and those by RBF. Further statistics about distance distributions between the acquired operating rules and training or testing samples are made to indirectly illuminate the impacts on the performances or behaviors of AIRS from three aspects of different affinity functions, training (testing) sample spatial distribution and supplementary samples in high nonlinear space of operation decision. The results indicate that AIRS can effectively extract water-supply operating rules and enrich the reservoir operation researches. [Copyright &y& Elsevier]
Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science 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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Header DbId: egs
DbLabel: Engineering Source
An: 60379774
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A new approach of obtaining reservoir operation rules: Artificial immune recognition system
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Xiao-Lin%22">Wang, Xiao-Lin</searchLink><relatesTo>1</relatesTo><i> wangxiaolin_cug@163.com</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Jin-Hua%22">Cheng, Jin-Hua</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yin%2C+Zheng-Jie%22">Yin, Zheng-Jie</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Guo%2C+Ming-Jing%22">Guo, Ming-Jing</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Expert+Systems+with+Applications%22">Expert Systems with Applications</searchLink>. Sep2011, Vol. 38 Issue 9, p11701-11707. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Computer+simulation+of+immune+system%22">Computer simulation of immune system</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems%22">Pattern recognition systems</searchLink><br /><searchLink fieldCode="DE" term="%22Immune+recognition%22">Immune recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Association+rule+mining%22">Association rule mining</searchLink><br /><searchLink fieldCode="DE" term="%22Radial+basis+functions%22">Radial basis functions</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Water-supply+engineering%22">Water-supply engineering</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract: Artificial immune recognition system (AIRS) was employed in this paper as a new approach of data mining to extract operating rules on a case of water-supply reservoir, and the comparisons were performed between the operating rules obtained by the system and those by RBF. Further statistics about distance distributions between the acquired operating rules and training or testing samples are made to indirectly illuminate the impacts on the performances or behaviors of AIRS from three aspects of different affinity functions, training (testing) sample spatial distribution and supplementary samples in high nonlinear space of operation decision. The results indicate that AIRS can effectively extract water-supply operating rules and enrich the reservoir operation researches. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Expert Systems with Applications is the property of Pergamon Press - An Imprint of Elsevier Science 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.)
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      – Type: doi
        Value: 10.1016/j.eswa.2011.03.055
    Languages:
      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 11701
    Subjects:
      – SubjectFull: Computer simulation of immune system
        Type: general
      – SubjectFull: Pattern recognition systems
        Type: general
      – SubjectFull: Immune recognition
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Association rule mining
        Type: general
      – SubjectFull: Radial basis functions
        Type: general
      – SubjectFull: Distribution (Probability theory)
        Type: general
      – SubjectFull: Water-supply engineering
        Type: general
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      – TitleFull: A new approach of obtaining reservoir operation rules: Artificial immune recognition system
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            NameFull: Wang, Xiao-Lin
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            NameFull: Cheng, Jin-Hua
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            NameFull: Yin, Zheng-Jie
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            NameFull: Guo, Ming-Jing
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              M: 09
              Text: Sep2011
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              Y: 2011
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