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

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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Download

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Document information

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Title:

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

Additional title:

Construction and Building Materials

Contributors:

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

Published in:

Construction and Building Materials ; 443

Publication date:

2024-09-01

ISSN:

0950-0618

DOI:

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

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Licence:

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

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