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Predicting the compressive strength of ultra-high-performance concrete using a decision tree machine learning model enhanced by the integration of two optimization meta-heuristic algorithms

Crossref DOI link: https://doi.org/10.1186/s44147-023-00350-1

Published Online: 2024-02-14

Published Print: 2024-12

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

Authors

Zhou, Runmiao

Tang, Yuzhe

Li, Hongmei

Liu, Zhenni
Funding

Funding for this research was provided by:

Key Project of Scientific Research Project of the Hunan Provincial Department of Education (22A0713)
License Information

Text and Data Mining valid from 2024-02-14

Version of Record valid from 2024-02-14
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Article History

Received: 12 September 2023

Accepted: 20 December 2023

First Online: 14 February 2024

Declarations

:

: The authors declare that they have no competing interests.

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