naa a22 4500 510806120 CHVBK 20180411083419.0 cr unu---uuuuu 180411e20130101xx s 000 0 eng 10.1007/s11625-012-0161-9 doi (NATIONALLICENCE)springer-10.1007/s11625-012-0161-9 The forecasting of municipal waste generation using artificial neural networks and sustainability indicators [Elektronische Daten] [Davor Antanasijević, Viktor Pocajt, Ivanka Popović, Nebojša Redžić, Mirjana Ristić] The feasibility of modeling municipal waste generation (MWG) for countries at different levels of development using artificial neural networks (ANN) and selected generic indicators of sustainability was investigated. The main goals of this research were to develop ANN-based models for predicting MWG, to overcome the problem of incomplete MWG data, which is notable in developing countries, and to provide a new method for the planning of municipal solid waste management systems as well as for the simulation of various other scenarios. Data from 26 European countries was used in this study as training, test and validation datasets for the developing of ANN models. Since this kind of modeling is particularly important for developing countries where MWG data is missing or incomplete, emphasis was placed on modeling of MWG for Bulgaria and Serbia. Based on a comparison of actual MWG data with predictions given by the model, we show that ANNs can be applied successfully to modeling and forecasting MWG on a national scale. Moreover, the scope for possible application of the model is broad, since it uses generic indicators of sustainability such as gross domestic product, domestic material consumption and resource productivity, and performs well for countries with highly diversified levels of economic development, industrial structure, productivity and output. Springer, 2012 Waste generation nationallicence Modeling nationallicence Neural networks nationallicence European Union nationallicence Bulgaria nationallicence Serbia nationallicence Antanasijević Davor Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000, Belgrade, Serbia aut Pocajt Viktor Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000, Belgrade, Serbia aut Popović Ivanka Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000, Belgrade, Serbia aut Redžić Nebojša SEPA Serbian Environmental Protection Agency, Ruže Jovanovića 27a, 11000, Belgrade, Serbia aut Ristić Mirjana Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000, Belgrade, Serbia aut Sustainability Science Springer Japan 8/1(2013-01-01), 37-46 1862-4065 8:1<37 2013 8 11625 https://doi.org/10.1007/s11625-012-0161-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11625-012-0161-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Antanasijević Davor Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000, Belgrade, Serbia aut NATIONALLICENCE 700 1- Pocajt Viktor Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000, Belgrade, Serbia aut NATIONALLICENCE 700 1- Popović Ivanka Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000, Belgrade, Serbia aut NATIONALLICENCE 700 1- Redžić Nebojša SEPA Serbian Environmental Protection Agency, Ruže Jovanovića 27a, 11000, Belgrade, Serbia aut NATIONALLICENCE 700 1- Ristić Mirjana Faculty of Technology and Metallurgy, University of Belgrade, Karnegijeva 4, 11000, Belgrade, Serbia aut NATIONALLICENCE 773 0- Sustainability Science Springer Japan 8/1(2013-01-01), 37-46 1862-4065 8:1<37 2013 8 11625 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer