Prediction of municipal solid waste generation and analysis of dominant variables in rapidly developing cities based on machine learning - a case study of China

Prediction of municipal solid waste (MSW) generation plays an essential role in effective waste management. The main objectives of this study were to develop models for accurate prediction of MSW generation (MSWG) and analyze the influence of dominant variables on MSWG. To elevate the model's p...

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Veröffentlicht in:	Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 42(2024), 6 vom: 31. Juni, Seite 476-484
1. Verfasser:	Zhao, Ying (VerfasserIn)
Weitere Verfasser:	Tao, Zhe, Li, Ying, Sun, Huige, Tang, Jingrui, Wang, Qianya, Guo, Liang, Song, Weiwei, Li, Bailian Larry
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Schlagworte:	Journal Article BP neural network Municipal solid waste dominant variables machine learning prediction model waste management Solid Waste