M Kulisz, J Kujawska - Sustainability, 2020 - mdpi.com
Planning is a crucial component of short-and long-term municipal waste management. Establishing the relationships between the factors that determine the amount of waste …
G Liang, F Panahi, AN Ahmed, M Ehteram… - Journal of Cleaner …, 2021 - Elsevier
Solid Waste (SW) is one of the critical challenges of urban life. These SWs are considered environmental pollutants that are a threat to ecology and human health. Predicting SW …
Given that global amounts of waste are growing rapidly, it is extremely important to determine what amount of waste will be generated in the near future. Accurate waste …
B Ribic, L Pezo, D Sincic, B Loncar… - International Journal of …, 2019 - Wiley Online Library
Summary The European Union's environmental legislation related to environmental protection, already implemented in the national legislation of the Republic of Croatia, aims to …
S Azadi, A Karimi-Jashni - Waste management, 2016 - Elsevier
Predicting the mass of solid waste generation plays an important role in integrated solid waste management plans. In this study, the performance of two predictive models, Artificial …
F Wu, D Niu, S Dai, B Wu - Waste Management, 2020 - Elsevier
As one of the most popular non-linear models, artificial neural network (ANN) has been successfully applied in the prediction of municipal solid waste (MSW). Despite its high …
Artificial neural networks (ANNs) are suitable for modeling solid waste generation. In the present study, four training functions, including resilient backpropagation (RP), scale …
This study presents a waste management model using artificial neural networks to predict future waste quantity and composition in Serbia. Since Serbia represent transition country …
The feasibility of modeling municipal waste generation (MWG) for countries at different levels of development using artificial neural networks (ANN) and selected generic indicators …