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Predicting compressive strength of heavyweight concrete using deep neural networks and Box–Behnken design

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Bibliographic Details
Published in:Challenge Journal of Concrete Research Letters
Format: Online Article RSS Article
Published: 2025
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container_title Challenge Journal of Concrete Research Letters
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:32873
institution FRELIP
journal_source_facet Challenge Journal of Concrete Research Letters
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Predicting compressive strength of heavyweight concrete using deep neural networks and Box–Behnken design
Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
sub_discipline_display Technology & Engineering — Aerospace & Applied Tech
sub_discipline_facet Technology & Engineering — Aerospace & Applied Tech
subject_display Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
subject_facet Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
title Predicting compressive strength of heavyweight concrete using deep neural networks and Box–Behnken design
title_auth Predicting compressive strength of heavyweight concrete using deep neural networks and Box–Behnken design
title_full Predicting compressive strength of heavyweight concrete using deep neural networks and Box–Behnken design
title_fullStr Predicting compressive strength of heavyweight concrete using deep neural networks and Box–Behnken design
title_full_unstemmed Predicting compressive strength of heavyweight concrete using deep neural networks and Box–Behnken design
title_short Predicting compressive strength of heavyweight concrete using deep neural networks and Box–Behnken design
title_sort predicting compressive strength of heavyweight concrete using deep neural networks and box–behnken design
topic Building and Construction
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
url https://www.challengejournal.com/index.php/cjcrl/article/view/941