Applying machine learning random forest (RF) method in predicting the cement products with a co-processing of input materials: Optimizing the hyperparameters-Reference-Cited by-同舟云学术

Applying machine learning random forest (RF) method in predicting the cement products with a co-processing of input materials: Optimizing the hyperparameters

Published:2024-05 Issue: Volume:248 Page:118300
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Kim Jin Hwi,Lee Dong Hoon,Mendoza Joseph Albert,Lee Min-Yong^ORCID

Funder

National Institute of Environmental Research

Publisher

Elsevier BV

Reference27 articles.

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2. Impact of the use of waste on trace element concentrations in cement and concrete;Achternbosch;Waste Manag. Res.,2005

3. Uses of alternative fuels and raw materials in the cement industry as sustainable waste management options;Aranda Usón;Renew. Sustain. Energy Rev.,2013

4. Bagging Predictors;Breiman,1996

5. Random Forests;Breiman,2001

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