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Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems.

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Title: Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems.
Authors: Zhu, Zejian1, Wu, Weiming2, Chen, Tianrui2, Hu, Jingtao1, Wang, Cong1,2, wangcong@sdu.edu.cn
Source: Neurocomputing; Dec2023, Vol. 562, 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: 173342131
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems.
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  Data: <searchLink fieldCode="AU" term="%22Zhu%2C+Zejian%22">Zhu, Zejian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wu%2C+Weiming%22">Wu, Weiming</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+Tianrui%22">Chen, Tianrui</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Hu%2C+Jingtao%22">Hu, Jingtao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Cong%22">Wang, Cong</searchLink><relatesTo>1,2</relatesTo>, <i>wangcong@sdu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; Dec2023, Vol. 562, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=173342131
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2023.126847
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Integrating reinforcement learning with deterministic learning for fault diagnosis of nonlinear systems.
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            NameFull: Zhu, Zejian
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            NameFull: Wu, Weiming
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            NameFull: Chen, Tianrui
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            NameFull: Hu, Jingtao
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              Text: Dec2023
              Type: published
              Y: 2023
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              Value: 09252312
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              Value: 562
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