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Development of helium turbine loss model based on knowledge transfer with neural network and its application on aerodynamic design.

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Title: Development of helium turbine loss model based on knowledge transfer with neural network and its application on aerodynamic design.
Authors: Liu, Changxing1,2, Zou, Zhengping1,2, zouzhengping@buaa.edu.cn, Xu, Pengcheng1,3, Wang, Yifan1,2
Source: Energy; Jun2024, Vol. 297, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 176867719
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
  Group: Ti
  Data: Development of helium turbine loss model based on knowledge transfer with neural network and its application on aerodynamic design.
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  Data: <searchLink fieldCode="AU" term="%22Liu%2C+Changxing%22">Liu, Changxing</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zou%2C+Zhengping%22">Zou, Zhengping</searchLink><relatesTo>1,2</relatesTo>, <i>zouzhengping@buaa.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Xu%2C+Pengcheng%22">Xu, Pengcheng</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Yifan%22">Wang, Yifan</searchLink><relatesTo>1,2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Energy%22">Energy</searchLink>; Jun2024, Vol. 297, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176867719
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.energy.2024.131327
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Development of helium turbine loss model based on knowledge transfer with neural network and its application on aerodynamic design.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Liu, Changxing
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          Name:
            NameFull: Zou, Zhengping
      – PersonEntity:
          Name:
            NameFull: Xu, Pengcheng
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            NameFull: Wang, Yifan
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            – D: 15
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 03605442
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              Value: 297
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            – TitleFull: Energy
              Type: main
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