Application of artificial neural networks for predicting the physical composition of municipal solid waste : An assessment of the impact of seasonal variation

Sustainable planning of waste management is contingent on reliable data on waste characteristics and their variation across the seasons owing to the consequential environmental impact of such variation. Traditional waste characterization techniques in most developing countries are time-consuming and...

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Veröffentlicht in:	Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 39(2021), 8 vom: 04. Aug., Seite 1058-1068
1. Verfasser:	Adeleke, Oluwatobi (VerfasserIn)
Weitere Verfasser:	Akinlabi, Stephen A, Jen, Tien-Chien, Dunmade, Israel
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2021
Zugriff auf das übergeordnete Werk:	Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Schlagworte:	Journal Article ANN Municipal solid waste backpropagation model architecture physical composition seasonal variation Solid Waste