A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence.

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Title: A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence.
Authors: Nhat-Duc Hoang1, hoangnhatduc@dtu.edu.vn, Anh-Duc Pham2, Minh-Tu Cao3
Source: Applied Computational Intelligence & Soft Computing; 2014, p1-8, 8p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 100269416
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Computational+Intelligence+%26+Soft+Computing%22">Applied Computational Intelligence & Soft Computing</searchLink>; 2014, p1-8, 8p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=100269416
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/2014/754809
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 8
        StartPage: 1
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      – TitleFull: A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence.
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            NameFull: Nhat-Duc Hoang
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            NameFull: Anh-Duc Pham
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          Name:
            NameFull: Minh-Tu Cao
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          Dates:
            – D: 01
              M: 01
              Text: 2014
              Type: published
              Y: 2014
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            – TitleFull: Applied Computational Intelligence & Soft Computing
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