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dc.contributor.authorArroyo Puente, Ángel
dc.contributor.authorCorchado Rodríguez, Emilio Santiago 
dc.contributor.authorTricio, Verónica
dc.contributor.authorGarcía Hernández, Laura
dc.contributor.authorSnášel, Václav
dc.date.accessioned2017-09-06T09:13:52Z
dc.date.available2017-09-06T09:13:52Z
dc.date.issued2013
dc.identifier.citationSoft Computing Models in Industrial and Environmental Applications Advances in Intelligent Systems and Computing. 7th International Conference, SOCO’12, Ostrava, Czech Republic, September 5th-7th, 2012. Advances in Intelligent Systems and Computing. Volumen 188, pp. 537-546.
dc.identifier.isbn978-3-642-32921-0 (Print) / 978-3-642-32922-7 (Online)
dc.identifier.issn2194-5357(Print)/ 2194-5365(Online)
dc.identifier.urihttp://hdl.handle.net/10366/134817
dc.description.abstractThis multidisciplinary research analyzes the atmospheric pollution conditions of two different places in Czech Republic. The case study is based on real data provided by the Czech Hydrometeorological Institute along the period between 2006 and 2010. Seven variables with atmospheric pollution information are considered. Different Soft Computing models are applied to reduce the dimensionality of this data set and show the variability of the atmospheric pollution conditions among the two places selected, as well as the significant variability of the air quality along the time.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleSoft Computing Techniques Applied to a Case Study of Air Quality in Industrial Areas in the Czech Republic
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported