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Prediction of concrete compressive strength with GGBFS and fly ash using multilayer perceptron algorithm, random forest regression and k-nearest neighbor regression

Crossref DOI link: https://doi.org/10.1007/s42107-022-00495-z

Published Online: 2022-08-30

Published Print: 2023-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ghunimat, Dalin

Alzoubi, Ahmed Essa

Alzboon, Abdelrahman

Hanandeh, Shadi
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Text and Data Mining valid from 2022-08-30

Version of Record valid from 2022-08-30
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Article History

Received: 3 August 2022

Accepted: 18 August 2022

First Online: 30 August 2022

Declarations

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: All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.

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