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Nonlinearity and Prediction of Air Polution.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F01%3A06010053" target="_blank" >RIV/67985807:_____/01:06010053 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Nonlinearity and Prediction of Air Polution.

  • Original language description

    A presence of nonlinearity in time series of concentrations of air pollutants and in their relations to time series of meteorological variables is tested using information-theoretic functionals and the surrogate data approach. The results are discussed in relation to predictability of the pollutant concentrations aimed to alert smog episodes.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2001

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Artificial Neural Nets and Genetic Algorithms. Proceedings of the International conference.

  • ISBN

    3-211-83651-9

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    473-476

  • Publisher name

    Springer

  • Place of publication

    Wien

  • Event location

    Praha [CZ]

  • Event date

    Apr 22, 2001

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article