Heuristic Approach to Multivariate Inverse Prediction Problem using Data Reconciliation

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dc.contributor.authorRosecky, Martin
dc.contributor.authorSomplak, Radovan
dc.contributor.authorJanostak, Frantisek
dc.contributor.authorBednar, Josef
dc.coverage.issue1cs
dc.coverage.volume24cs
dc.date.accessioned2019-06-26T10:18:36Z
dc.date.available2019-06-26T10:18:36Z
dc.date.issued2018-06-01cs
dc.description.abstractSome engineering waste management tasks require a complete data sets of its production. However, these sets are not available in most cases. Whether they are not archiving at all or are unavailable for their sensitivity. This article deals with the issue of incomplete datasets at the microregional level. For estimates, the data from higher territorial units and additional information from the micro-region are used. The techniques used in this estimation are illustrated by an example in the field of waste management. In particular, it is an estimate of the amount of waste in individual municipalities. It is based on recorded waste production at district level and total waste management costs, which is available at a municipal level. To estimate the waste production, combinations of linear regression models with random forest models were used, followed by correction by quadratic and nonlinear optimization models. Such task could be seen as a multivariate version of inverse prediction (or calibration) problem, which is not solvable analytically. To test this approach, data for 2010 - 2015 measured in the Czech Republic were used.en
dc.formattextcs
dc.format.extent71-78cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2018 vol. 24, č. 1, s. 71-78. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2018.1.071en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/179226
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/25cs
dc.rights.accessopenAccessen
dc.subjectData reconciliationen
dc.subjectRandom foresten
dc.subjectRegressionen
dc.subjectWaste managementen
dc.subjectOptimizationen
dc.subjectMultivariate calibrationen
dc.subjectInverse predictionen
dc.titleHeuristic Approach to Multivariate Inverse Prediction Problem using Data Reconciliationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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