A hierarchical systems modelling approach based on neural networks for forecasting global waste generation: a case study of Chile
dc.contributor.author | Samarasinghe, Sandhya | |
dc.contributor.author | Ordonez Ponce, E | |
dc.coverage.spatial | Melbourne | |
dc.date.accessioned | 2013-05-16T03:30:42Z | |
dc.date.issued | 2005-12 | |
dc.description.abstract | In this-first every study for Chile, a neural network based hierarchical modelling approach is proposed for forecasting domestic waste generation for the whole country. Over 30 global variables from the 342 communes (municipalities) in the country were analysed extensively using statistical tools that led to 5 significant explanatory variables: population, percentage of urban population, years of education, number of libraries and number of indigents. The five explanatory variables were used to develop a feedforward neural network for predicting volume of global waste generation for a particular year (2002 in this case) in Chile and assessing the contribution of variables. The model had validation R² of 0.82. | |
dc.format.extent | pp.58-65 | |
dc.identifier | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=elements_prod&SrcAuth=WosAPI&KeyUT=WOS:000290114100007&DestLinkType=FullRecord&DestApp=WOS_CPL | |
dc.identifier.isbn | 0-9758400-2-9 | |
dc.identifier.other | BUQ81 (isidoc) | |
dc.identifier.uri | https://hdl.handle.net/10182/5443 | |
dc.language.iso | en | |
dc.publisher | Modelling and Simulation Society of Australia and New Zealand | |
dc.relation | The original publication is available from Modelling and Simulation Society of Australia and New Zealand | |
dc.relation.isPartOf | MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING | |
dc.rights | © 2007 Modelling & Simulation Society of Australia & New Zealand Inc. | |
dc.source | MODSIM 05 International Congress on Modelling and Simulation | |
dc.subject | neural networks | |
dc.subject | waste forecasting | |
dc.subject | Chile | |
dc.subject | waste management | |
dc.title | A hierarchical systems modelling approach based on neural networks for forecasting global waste generation: a case study of Chile | |
dc.type | Conference Contribution - published | |
lu.contributor.unit | LU | |
lu.contributor.unit | LU|Faculty of Environment, Society and Design | |
lu.contributor.unit | LU|Faculty of Environment, Society and Design|SOLA | |
lu.contributor.unit | LU|Research Management Office | |
lu.contributor.unit | LU|Faculty of Environment, Society and Design|OLD NATRES | |
lu.contributor.unit | LU|Research Management Office|OLD QE18 | |
lu.identifier.orcid | 0000-0003-2943-4331 | |
lu.subtype | Conference Paper | |
pubs.finish-date | 2005-12-15 | |
pubs.publication-status | Published | |
pubs.start-date | 2005-12-12 |
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