Predictive analysis of municipal solid waste generation using an optimized neural network model

N Elshaboury, E Mohammed Abdelkader, A Al-Sakkaf… - Processes, 2021 - mdpi.com
Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an …

Prediction of municipal waste generation in Poland using neural network modeling

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 …

Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components

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 …

Prediction of the production of separated municipal solid waste by artificial neural networks in Croatia and the European Union

E Puntarić, L Pezo, Ž Zgorelec, J Gunjača… - Sustainability, 2022 - mdpi.com
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 …

Predictive model for municipal waste generation using artificial neural networks—Case study City of Zagreb, Croatia

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 …

Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case …

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 …

New insights into regional differences of the predictions of municipal solid waste generation rates using artificial neural networks

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 …

Evaluation of PCA and Gamma test techniques on ANN operation for weekly solid waste prediction

R Noori, A Karbassi, MS Sabahi - Journal of Environmental Management, 2010 - Elsevier
Artificial neural networks (ANNs) are suitable for modeling solid waste generation. In the
present study, four training functions, including resilient backpropagation (RP), scale …

Using ANN model to determine future waste characteristics in order to achieve specific waste management targets-case study of Serbia

B Batinić, S Vukmirović, G Vujić, N Stanisavljević… - 2011 - nopr.niscpr.res.in
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 forecasting of municipal waste generation using artificial neural networks and sustainability indicators

D Antanasijević, V Pocajt, I Popović, N Redžić… - Sustainability …, 2013 - Springer
The feasibility of modeling municipal waste generation (MWG) for countries at different
levels of development using artificial neural networks (ANN) and selected generic indicators …