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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F13%3A86089244%21RIV14-MSM-27740___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
This 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. This 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.
dcterms:title
Soft computing techniques applied to a case study of air quality in industrial areas in the Czech Republic Soft computing techniques applied to a case study of air quality in industrial areas in the Czech Republic
skos:prefLabel
Soft computing techniques applied to a case study of air quality in industrial areas in the Czech Republic Soft computing techniques applied to a case study of air quality in industrial areas in the Czech Republic
skos:notation
RIV/61989100:27740/13:86089244!RIV14-MSM-27740___
n15:predkladatel
n19:orjk%3A27740
n3:aktivita
n12:S n12:P
n3:aktivity
P(ED1.1.00/02.0070), P(EE.2.3.20.0073), S
n3:dodaniDat
n14:2014
n3:domaciTvurceVysledku
n11:4347269
n3:druhVysledku
n9:D
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
106029
n3:idVysledku
RIV/61989100:27740/13:86089244
n3:jazykVysledku
n8:eng
n3:klicovaSlova
statistical models; soft computing; meteorology; environmental conditions; Artificial neural networks
n3:klicoveSlovo
n4:environmental%20conditions n4:statistical%20models n4:Artificial%20neural%20networks n4:meteorology n4:soft%20computing
n3:kontrolniKodProRIV
[8B309F5CA396]
n3:mistoKonaniAkce
Ostrava
n3:mistoVydani
Heidelberg
n3:nazevZdroje
Advances in Intelligent Systems and Computing. Volume 189
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
5
n3:projekt
n6:EE.2.3.20.0073 n6:ED1.1.00%2F02.0070
n3:rokUplatneniVysledku
n14:2013
n3:tvurceVysledku
Snášel, Václav García-Hernández, L. Arroyo, A. Tricio, V. Corchado, E.
n3:typAkce
n21:WRD
n3:zahajeniAkce
2012-09-05+02:00
s:issn
2194-5357
s:numberOfPages
10
n23:doi
10.1007/978-3-642-32922-7_55
n22:hasPublisher
Springer-Verlag
n7:isbn
978-3-642-33017-9
n20:organizacniJednotka
27740