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Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes.

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Title: Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes.
Authors: González Salcedo, Luis Octavio1 logonzalezsa@unal.edu.co, Guerrero Zúñiga, Aydee Patricia2 patricia.guerrero@correounivalle.edu.co, Delvasto Arjonac, Silvio2 silvio.delvasto@correounivalle.edu.co, Ernesto Willd, Adrián Luis2 adrian.will@gitia.org
Source: Ciencia e Ingenieria Neogranadina. 2019, Vol. 29 Issue 2, p37-52. 16p.
Database: Environment Complete
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An: 142325592
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PubType: Academic Journal
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  Data: Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes.
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  Data: <searchLink fieldCode="JN" term="%22Ciencia+e+Ingenieria+Neogranadina%22">Ciencia e Ingenieria Neogranadina</searchLink>. 2019, Vol. 29 Issue 2, p37-52. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=142325592
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.18359/rcin.3737
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      – Code: spa
        Text: Spanish
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      Pagination:
        PageCount: 16
        StartPage: 37
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      – TitleFull: Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes.
        Type: main
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          Name:
            NameFull: González Salcedo, Luis Octavio
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            NameFull: Guerrero Zúñiga, Aydee Patricia
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            NameFull: Delvasto Arjonac, Silvio
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            NameFull: Ernesto Willd, Adrián Luis
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            – D: 01
              M: 07
              Text: 2019
              Type: published
              Y: 2019
          Identifiers:
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              Value: 01248170
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              Value: 29
            – Type: issue
              Value: 2
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            – TitleFull: Ciencia e Ingenieria Neogranadina
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