Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes
Reliable prediction of municipal solid waste (MSW) generation rates is a significant element of planning and implementation of sustainable solid waste management strategies. In this study, the multi-layer perceptron artificial neural network (MLP-ANN) is applied to verify the prediction of annual ge...
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Détails bibliographiques
Publié dans: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 39(2021), 3 vom: 01. März, Seite 499-507
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Auteur principal: |
Coskuner, Gulnur
(Auteur) |
Autres auteurs: |
Jassim, Majeed S,
Zontul, Metin,
Karateke, Seda |
Format: | Article en ligne
|
Langue: | English |
Publié: |
2021
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Accès à la collection: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
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Sujets: | Journal Article
Bahrain
artificial neural network
landfill
multi-layer perceptron
municipal solid waste
predictive modeling
trend analysis
Solid Waste |