Modeling of dynamic data-driven approach for the distributed steel rolling heating furnace temperature field.

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Title: Modeling of dynamic data-driven approach for the distributed steel rolling heating furnace temperature field.
Authors: Bao, Qingfeng1,2, Zhang, Sen1,2, zhangsen@ustb.edu.cn, Guo, Jin1,2, Xu, Zhengguang1,2, Zhang, Zhenquan3
Source: Neural Computing & Applications; Jun2022, Vol. 34 Issue 11, p8959-8975, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 156859364
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Jun2022, Vol. 34 Issue 11, p8959-8975, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=156859364
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00521-022-06917-y
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 8959
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      – TitleFull: Modeling of dynamic data-driven approach for the distributed steel rolling heating furnace temperature field.
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            NameFull: Bao, Qingfeng
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            NameFull: Zhang, Sen
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            NameFull: Guo, Jin
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            NameFull: Xu, Zhengguang
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            – D: 01
              M: 06
              Text: Jun2022
              Type: published
              Y: 2022
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              Value: 09410643
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              Value: 34
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              Value: 11
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            – TitleFull: Neural Computing & Applications
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