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Air Quality Modelling by Neuro-Fuzzy Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F09%3A00009280" target="_blank" >RIV/00216275:25410/09:00009280 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Air Quality Modelling by Neuro-Fuzzy Systems

  • Original language description

    The chapter presents the parameters design for air quality modelling. Further, the chapter presents the basic concepts of fuzzy logic neural networks (FLNNs). The proposed model realizes the advantages of both the unsupervised methods (combination of theKohonen's self-organizing maps and K-means algorithm) and FLNN. The final part of the paper includes modelling and analysis of the results.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/SP%2F4I2%2F60%2F07" target="_blank" >SP/4I2/60/07: Indicators for assessment and simulation of interactions among environment, economics and social connections</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Modelling of Selected areas of Sustainable Development by Artificial Intelligence and Soft Computing - Regional level

  • ISBN

    978-80-247-3167-4

  • Number of pages of the result

    14

  • Pages from-to

  • Number of pages of the book

    152

  • Publisher name

    GRADA Publishing a.s.

  • Place of publication

    Praha

  • UT code for WoS chapter