Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review

• Published in: Bioresource technology Vol. 319; p. 124114
• Main Authors: Guo, Hao-nan, Wu, Shu-biao, Tian, Ying-jie, Zhang, Jun, Liu, Hong-tao
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.01.2021
• Subjects: anaerobic digestion; heat treatment; landfills; Machine Learning; Modeling; municipal solid waste; neural networks; Organic solid waste; Prediction; Recycling; Refuse Disposal; Solid Waste - analysis; systematic review; Waste Disposal Facilities; Waste Management; waste treatment; Organic solid waste; Modeling; Machine learning; Prediction

[Display omitted] •Five specific application fields of ML in OSW were identified and analyzed.•Characteristics and suitability of different ML models were summarized.•Most frequently employed ML model is ANN, followed by SVM, GA, and DT/RF.•Data scarcity hinders implementation of ML in OSW treatment...