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dc.contributor.authorArroyo Puente, Ángel 
dc.contributor.authorHerrero Cosío, Álvaro 
dc.contributor.authorCorchado, Emilio 
dc.contributor.authorTricio Gómez, Verónica 
dc.date.accessioned2023-01-18T12:04:33Z
dc.date.available2023-01-18T12:04:33Z
dc.date.issued2017-12
dc.identifier.issn1367-0751
dc.identifier.urihttp://hdl.handle.net/10259/7267
dc.description.abstractThe combined application of several soft-computing and statistical techniques is proposed for the characterization of atmospheric conditions in two European regions: Madrid (Spain) and Prague (Czech Republic). The resulting Hybrid Artificial Intelligence System (HAIS) combines projection models for dimensionality reduction and clustering, combining neural and fuzzy paradigms, in a decision support tool. In present article, this proposed HAIS is applied to analyse the air quality in these two geographical regions and get a better understanding of its circumstances and evolution. To do so, real-life data from six data-acquisition stations are analysed. The main pollutants recorded at these stations between 2007 and 2014, their geographical locations and seasonal changes are all studied, in a research that shows how such factors determine variations in air-borne pollutants. Furthermore, neural projections of the clustering results from data on atmospheric pollution are studied.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherOxford University Presses
dc.relation.ispartofLogic Journal of the IGPL. 2017, V. 25, n. 6, p. 915-937es
dc.subjectHybrid systemsen
dc.subjectClustering techniquesen
dc.subjectAir qualityen
dc.subjectProjection modelsen
dc.subjectArtificial neural networksen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titleA hybrid intelligent system for the analysis of atmospheric pollution: a case study in two European regionsen
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.1093/jigpal/jzx050es
dc.identifier.doi10.1093/jigpal/jzx050
dc.identifier.essn1368-9894
dc.journal.titleLogic Journal of the IGPLes
dc.volume.number25es
dc.issue.number6es
dc.page.initial915es
dc.page.final937es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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