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Technical Paper

Prediction for Energy Content of Taiwan Municipal Solid Waste Using Multilayer Perceptron Neural Networks

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Pages 852-858 | Published online: 29 Feb 2012

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Adnane Mounadel, Hamid Ech-Cheikh, Saâd Lissane Elhaq, Ahmed Rachid, Mohamed Sadik & Bilal Abdellaoui. (2023) Application of artificial intelligence techniques in municipal solid waste management: a systematic literature review. Environmental Technology Reviews 12:1, pages 316-336.
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Oluwatobi Adeleke, Stephen Akinlabi, Tien-Chien Jen & Israel Dunmade. (2022) Prediction of the heating value of municipal solid waste: a case study of the city of Johannesburg. International Journal of Ambient Energy 43:1, pages 3845-3856.
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Alireza Rostami & Alireza Baghban. (2018) Application of a supervised learning machine for accurate prognostication of higher heating values of solid wastes. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40:5, pages 558-564.
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Ugur Ozveren. (2016) An artificial intelligence approach to predict a lower heating value of municipal solid waste. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 38:19, pages 2906-2913.
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E. Akkaya & A. Demir. (2010) Predicting the Heating Value of Municipal Solid Waste-based Materials: An Artificial Neural Network Model. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 32:19, pages 1777-1783.
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Johanna Karina Solano Meza, David Orjuela Yepes, Javier Rodrigo-Ilarri & María-Elena Rodrigo-Clavero. (2023) Comparative Analysis of the Implementation of Support Vector Machines and Long Short-Term Memory Artificial Neural Networks in Municipal Solid Waste Management Models in Megacities. International Journal of Environmental Research and Public Health 20:5, pages 4256.
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O.A. Adeleke, S.A. Akinlabi, T. C. Jen & I. Dunmade. (2021) Evaluation and Prediction of Energy Content of Municipal Solid Waste: A review. IOP Conference Series: Materials Science and Engineering 1107:1, pages 012097.
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Oluwatobi Adeleke, Stephen A. Akinlabi, Paul A. Adedeji & Tien-Chien Jen. 2020. Advances in Manufacturing Engineering. Advances in Manufacturing Engineering 177 185 .
Ajay Singh. (2019) Solid waste management through the applications of mathematical models. Resources, Conservation and Recycling 151, pages 104503.
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Sk Ajim Ali & Ateeque Ahmad. (2019) Forecasting MSW generation using artificial neural network time series model: a study from metropolitan city. SN Applied Sciences 1:11.
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Elissando Rocha da Silva, Juliana Tófano de Campos Leite Toneli & Reynaldo Palacios-Bereche. (2019) Estimativa do potencial de recuperação energética de resíduos sólidos urbanos usando modelos matemáticos de biodigestão anaeróbia e incineração. Engenharia Sanitaria e Ambiental 24:2, pages 347-357.
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Vladimir M. Adamović, Davor Z. Antanasijević, Aleksandar R. Ćosović, Mirjana Đ. Ristić & Viktor V. Pocajt. (2018) An artificial neural network approach for the estimation of the primary production of energy from municipal solid waste and its application to the Balkan countries. Waste Management 78, pages 955-968.
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