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Input‐to‐state ℋ∞ learning of recurrent neural networks with delay and disturbance.

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Title: Input‐to‐state ℋ∞ learning of recurrent neural networks with delay and disturbance.
Authors: Zhang, Zhi1 (AUTHOR), Huang, Xin1 (AUTHOR), Chen, Yebin1,2 (AUTHOR), Zhou, Jianping1,2 (AUTHOR) jpzhou@ahut.edu.cn
Source: International Journal of Adaptive Control & Signal Processing. Aug2021, Vol. 35 Issue 8, p1438-1453. 16p.
Database: Mathematics Source
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  Data: Input‐to‐state ℋ∞ learning of recurrent neural networks with delay and disturbance.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Zhi%22">Zhang, Zhi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Xin%22">Huang, Xin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yebin%22">Chen, Yebin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Jianping%22">Zhou, Jianping</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> jpzhou@ahut.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Adaptive+Control+%26+Signal+Processing%22">International Journal of Adaptive Control & Signal Processing</searchLink>. Aug2021, Vol. 35 Issue 8, p1438-1453. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=151754542
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/acs.3251
    Languages:
      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 1438
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      – TitleFull: Input‐to‐state ℋ∞ learning of recurrent neural networks with delay and disturbance.
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            NameFull: Zhang, Zhi
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            NameFull: Huang, Xin
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            NameFull: Chen, Yebin
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            NameFull: Zhou, Jianping
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            – D: 01
              M: 08
              Text: Aug2021
              Type: published
              Y: 2021
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              Value: 35
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              Value: 8
          Titles:
            – TitleFull: International Journal of Adaptive Control & Signal Processing
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