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Optimizing pervious concrete with machine learning: Predicting permeability and compressive strength using artificial neural networks

Wu, Yinglong / Pieralisi, R. / B. Sandoval, F. Gersson / López-Carreño, R.D. / Pujadas, P.

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Optimizing pervious concrete with machine learning: Predicting permeability and compressive strength using artificial neural networks

Wu, Yinglong / Pieralisi, R. / B. Sandoval, F. Gersson / López-Carreño, R.D. / Pujadas, P.

Optimizing pervious concrete with machine learning: Predicting permeability and compressive strength using artificial neural networks

Wu, Yinglong / Pieralisi, R. / B. Sandoval, F. Gersson / López-Carreño, R.D. / Pujadas, P.

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Titel:

Optimizing pervious concrete with machine learning: Predicting permeability and compressive strength using artificial neural networks

Weitere Titelangaben:

Construction and Building Materials

Beteiligte:

Wu, Yinglong (Autor:in) / Pieralisi, R. (Autor:in) / B. Sandoval, F. Gersson (Autor:in) / López-Carreño, R.D. (Autor:in) / Pujadas, P. (Autor:in)

Erschienen in:

Construction and Building Materials ; 443

Erscheinungsdatum:

01.09.2024

ISSN:

0950-0618

DOI:

https://doi.org/10.1016/j.conbuildmat.2024.137619

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Lizenzbestimmungen:

http://creativecommons.org/licenses/by-nc/4.0/

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