Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables

Construction and demolition waste (DW) generation information has been recognized as a tool for providing useful information for waste management. Recently, numerous researchers have actively utilized artificial intelligence technology to establish accurate waste generation information. This study i...

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Detalles Bibliográficos
Autores principales: Cha, Gi-Wook, Moon, Hyeun-Jun, Kim, Young-Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392226/
https://www.ncbi.nlm.nih.gov/pubmed/34444277
http://dx.doi.org/10.3390/ijerph18168530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392226/
https://www.ncbi.nlm.nih.gov/pubmed/34444277
http://dx.doi.org/10.3390/ijerph18168530

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