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Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network.

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Title: Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network.
Authors: Kazemi, Ramin1 (AUTHOR) raminkazemihsu@gmail.com, Golafshani, Emadaldin Mohammadi2 (AUTHOR) e.mohammadi_golafshani@unsw.edu.au, Behnood, Ali3 (AUTHOR) abehnood@olemiss.edu
Source: Structural Concrete. Apr2024, Vol. 25 Issue 2, p1343-1363. 21p.
Database: Academic Search Ultimate
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  Data: Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network.
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  Data: <searchLink fieldCode="JN" term="%22Structural+Concrete%22">Structural Concrete</searchLink>. Apr2024, Vol. 25 Issue 2, p1343-1363. 21p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=176585369
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      – Type: doi
        Value: 10.1002/suco.202300313
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 1343
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      – TitleFull: Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network.
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            NameFull: Kazemi, Ramin
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            NameFull: Golafshani, Emadaldin Mohammadi
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              Text: Apr2024
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              Y: 2024
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