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Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa
Research article (Journal of Cleaner Production, 2020) · cited 120× · AI/ML
Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa
Summary
Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa is a scholarly article[1].
Key Facts
Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-municipal-solid-waste-quantity-using-artificial-neural-network-and-supported-vector-machine-techniques-a-cas
MLA“Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-municipal-solid-waste-quantity-using-artificial-neural-network-and-supported-vector-machine-techniques-a-cas.
BibTeX@misc{4ortxyz_forecasting-municipal-solid-waste-quantity-using-artificial-neural-network-and-supported-vector-machine-techniques-a-cas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-municipal-solid-waste-quantity-using-artificial-neural-network-and-supported-vector-machine-techniques-a-cas}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting municipal solid waste quantity using artificial neural network and supported vector machine techniques: A case study of Johannesburg, South Africa — https://4ort.xyz/entity/forecasting-municipal-solid-waste-quantity-using-artificial-neural-network-and-supported-vector-machine-techniques-a-cas (retrieved 2026-05-24)
