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GUHA Analysis of Air Pollution Data

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    0404201 - UIVT-O 20010062 RIV AT eng C - Conference Paper (international conference)
    Coufal, David
    GUHA Analysis of Air Pollution Data.
    Artificial Neural Nets and Genetic Algorithms. Proceedings of the International conference. Wien: Springer, 2001 - (Kůrková, V.; Steele, N.; Neruda, R.; Kárný, M.), s. 465-468. ISBN 3-211-83651-9.
    [ICANNGA'2001 /5./. Praha (CZ), 22.04.2001-25.04.2001]
    R&D Projects: GA ČR GA201/00/1489
    Grant - others:APPETISE(XE) IST-99-11764
    Institutional research plan: AV0Z1030915
    Keywords : air polution * GUHA method * ozone
    Subject RIV: BA - General Mathematics

    This paper presents an exploratory analysis of air pollution data employing GUHA method. The aim is to examine if there are any significant relations between quantity of ozone (O3) air pollution and quantity of other types of pollution (NO, NO2). Influence of physical conditions (humidity, temperature) is examined too. The analysis is performed on the base of data collected at the several measuring stations localized across the Czech Republic.
    Permanent Link: http://hdl.handle.net/11104/0124468

     
     

Number of the records: 1  

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