Predicting compressive and flexural strength of high-performance concrete using a dynamic Catboost Regression model combined with individual and ensemble optimization techniques-Reference-Cited by-同舟云学术

Predicting compressive and flexural strength of high-performance concrete using a dynamic Catboost Regression model combined with individual and ensemble optimization techniques

Published:2024-03 Issue: Volume:38 Page:108174
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Wu Yali,Huang Huan

Funder

Beijing Science and Technology Planning Project

Publisher

Elsevier BV

Reference38 articles.

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4. Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete;Golafshani;J. Clean. Prod.,2018

5. Classification-based regression models for prediction of the mechanical properties of roller-compacted concrete pavement;Ashrafian;Appl. Sci.,2020

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