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A hybrid prediction model of blast furnace permeability index combining least square support vector machine and artificial neural network.

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Title: A hybrid prediction model of blast furnace permeability index combining least square support vector machine and artificial neural network.
Authors: Yu, Zhi-heng1, Li, Xiao-ming1, xmli@xauat.edu.cn, Wang, Bao-rong1, Lin, Xu-hu1, Ren, Yi-ze1, Xing, Xiang-dong1, xaxxd@xauat.edu.cn
Source: Ironmaking & Steelmaking; May2026, Vol. 53 Issue 4, p746-756, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193688298
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A hybrid prediction model of blast furnace permeability index combining least square support vector machine and artificial neural network.
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  Data: <searchLink fieldCode="JN" term="%22Ironmaking+%26+Steelmaking%22">Ironmaking & Steelmaking</searchLink>; May2026, Vol. 53 Issue 4, p746-756, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193688298
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1177/03019233241288764
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 746
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      – TitleFull: A hybrid prediction model of blast furnace permeability index combining least square support vector machine and artificial neural network.
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            NameFull: Yu, Zhi-heng
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            NameFull: Li, Xiao-ming
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            NameFull: Wang, Bao-rong
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            NameFull: Lin, Xu-hu
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            NameFull: Ren, Yi-ze
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 53
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            – TitleFull: Ironmaking & Steelmaking
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