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dc.creatorAntanasijević, Davor
dc.creatorPocajt, Viktor
dc.creatorPopović, Ivanka
dc.creatorRedžić, Nebojša
dc.creatorRistić, Mirjana
dc.date.accessioned2021-03-10T12:12:41Z
dc.date.available2021-03-10T12:12:41Z
dc.date.issued2013
dc.identifier.issn1862-4065
dc.identifier.urihttp://TechnoRep.tmf.bg.ac.rs/handle/123456789/2479
dc.description.abstractThe 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.en
dc.publisherSpringer Japan Kk, Tokyo
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172007/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/13002/RS//
dc.rightsrestrictedAccess
dc.sourceSustainability Science
dc.subjectWaste generationen
dc.subjectModelingen
dc.subjectNeural networksen
dc.subjectEuropean Unionen
dc.subjectBulgariaen
dc.subjectSerbiaen
dc.titleThe forecasting of municipal waste generation using artificial neural networks and sustainability indicatorsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage46
dc.citation.issue1
dc.citation.other8(1): 37-46
dc.citation.rankM21
dc.citation.spage37
dc.citation.volume8
dc.identifier.doi10.1007/s11625-012-0161-9
dc.identifier.scopus2-s2.0-84871934498
dc.identifier.wos000313029000004
dc.type.versionpublishedVersion


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