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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |