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Extraction of Fuzzy Logic Rules from Data by Means of Artificial Neural Networks

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    SYSNO0405527
    TitleExtraction of Fuzzy Logic Rules from Data by Means of Artificial Neural Networks
    TitleExtrakce pravidel fuzzy logiky z dat pomocí umělých neuronových sítí
    Author(s) Holeňa, Martin (UIVT-O) SAI, RID
    Source Title Kybernetika. Roč. 41, č. 3 (2005), s. 297-314. - : Ústav teorie informace a automatizace AV ČR, v. v. i.
    Document TypeČlánek v odborném periodiku
    Grant IAA1030004 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    Languageeng
    CountryCZ
    Keywords knowledge extraction from data * artificial neural networks * fuzzy logic * Lukasiewicz logic * disjunctive normal form
    URLhttp://dml.cz/handle/10338.dmlcz/135657
    Permanent Linkhttp://hdl.handle.net/11104/0125685
    FileDownloadSizeCommentaryVersionAccess
    Kybernetika_41-2005-3_3.pdf11.4 MBPublisher’s postprintopen-access
     

Number of the records: 1  

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