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Innovative soft computing techniques including artificial neural network and nonlinear regression models to predict the compressive strength of environmentally friendly concrete incorporating waste glass powder

Crossref DOI link: https://doi.org/10.1007/s41062-023-01089-7

Published Online: 2023-03-17

Published Print: 2023-04

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

Authors

Ahmad, Soran Abdrahman

Rafiq, Serwan Khwrshed

Ahmed, Hemn Unis https://orcid.org/0000-0003-2391-4895
Abdulrahman, Alan Saeed

Ramezanianpour, Amir Mohammad
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Text and Data Mining valid from 2023-03-17

Version of Record valid from 2023-03-17
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Article History

Received: 31 October 2022

Accepted: 4 March 2023

First Online: 17 March 2023

Declarations

:

: The authors declare that they have no conflicts of interest.

: This article does not contain any studies involving animals performed by any of the authors. This article does not contain any studies involving human participants performed by any of the authors.

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