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

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...

Full description

Bibliographic Details
Main Authors: Gi-Wook Cha, Hyeun Jun Moon, Young-Min Kim, Won-Hwa Hong, Jung-Ha Hwang, Won-Jun Park, Young-Chan Kim
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:International Journal of Environmental Research and Public Health
Subjects:
demolition waste management
construction waste management
prediction model
random forest
leave-one-out cross-validation
small data
Online Access:https://www.mdpi.com/1660-4601/17/19/6997

Internet

https://www.mdpi.com/1660-4601/17/19/6997

Similar Items