Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets

Recently, artificial intelligence (AI) technologies have been employed to predict construction and demolition (C&D) waste generation. However, most studies have used machine learning models with continuous data input variables, applying algorithms, such as artificial neural networks, adaptive ne...

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Detalles Bibliográficos
Autores principales: Cha, Gi-Wook, Moon, Hyeun Jun, Kim, Young-Min, Hong, Won-Hwa, Hwang, Jung-Ha, Park, Won-Jun, Kim, Young-Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579598/
https://www.ncbi.nlm.nih.gov/pubmed/32987874
http://dx.doi.org/10.3390/ijerph17196997

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579598/
https://www.ncbi.nlm.nih.gov/pubmed/32987874
http://dx.doi.org/10.3390/ijerph17196997

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