Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation
The evolution of machine learning (ML) algorithms provides researchers and engineers with state-of-the-art tools to dynamically model complex relationships. The design and operation of municipal solid waste (MSW) management systems require accurate estimation of generation rates. In this study, we a...
| Veröffentlicht in: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 40(2022), 2 vom: 05. Feb., Seite 195-204 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2022
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| Zugriff auf das übergeordnete Werk: | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA |
| Schlagworte: | Journal Article Artificial intelligence Bahrain landfill machine learning multi-layer perceptron municipal solid waste predictive modelling waste generation rate Solid Waste |
| Online verfügbar |
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