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A hybrid multiscale filter along with an improved adaptive SVR technique for fault diagnosis and machine learning modeling: forecasting the octane number of gasoline in isomerization reactor.

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Title: A hybrid multiscale filter along with an improved adaptive SVR technique for fault diagnosis and machine learning modeling: forecasting the octane number of gasoline in isomerization reactor.
Authors: Abdolkarimi, Vahid1, Sari, Ataallah1, a.sari@eng.ui.ac.ir, Shokri, Saeid2
Source: Neural Computing & Applications; Apr2023, Vol. 35 Issue 11, p8517-8541, 25p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 162587445
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A hybrid multiscale filter along with an improved adaptive SVR technique for fault diagnosis and machine learning modeling: forecasting the octane number of gasoline in isomerization reactor.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Apr2023, Vol. 35 Issue 11, p8517-8541, 25p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00521-022-08128-x
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 8517
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      – TitleFull: A hybrid multiscale filter along with an improved adaptive SVR technique for fault diagnosis and machine learning modeling: forecasting the octane number of gasoline in isomerization reactor.
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            NameFull: Abdolkarimi, Vahid
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            NameFull: Sari, Ataallah
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            NameFull: Shokri, Saeid
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              Text: Apr2023
              Type: published
              Y: 2023
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              Value: 35
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              Value: 11
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