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Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution.

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Title: Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution.
Authors: Wu, Binrong1, Wang, Lin1, Lv, Sheng-Xiang2, Zeng, Yu-Rong3, zyrhbue@gmail.com
Source: Applied Intelligence; Mar2023, Vol. 53 Issue 5, p5473-5496, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 161991901
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution.
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  Data: <searchLink fieldCode="AU" term="%22Wu%2C+Binrong%22">Wu, Binrong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Lin%22">Wang, Lin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lv%2C+Sheng-Xiang%22">Lv, Sheng-Xiang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zeng%2C+Yu-Rong%22">Zeng, Yu-Rong</searchLink><relatesTo>3</relatesTo>, <i>zyrhbue@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Intelligence%22">Applied Intelligence</searchLink>; Mar2023, Vol. 53 Issue 5, p5473-5496, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161991901
RecordInfo BibRecord:
  BibEntity:
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      – Type: doi
        Value: 10.1007/s10489-022-03720-z
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 24
        StartPage: 5473
    Titles:
      – TitleFull: Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution.
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            NameFull: Wu, Binrong
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            NameFull: Wang, Lin
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            NameFull: Lv, Sheng-Xiang
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            NameFull: Zeng, Yu-Rong
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            – D: 01
              M: 03
              Text: Mar2023
              Type: published
              Y: 2023
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              Value: 0924669X
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              Value: 53
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              Value: 5
          Titles:
            – TitleFull: Applied Intelligence
              Type: main
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