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

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    0405527 - UIVT-O 330905 RIV CZ eng J - Journal Article
    Holeňa, Martin
    Extraction of Fuzzy Logic Rules from Data by Means of Artificial Neural Networks.
    [Extrakce pravidel fuzzy logiky z dat pomocí umělých neuronových sítí.]
    Kybernetika. Roč. 41, č. 3 (2005), s. 297-314. ISSN 0023-5954
    R&D Projects: GA AV ČR IAA1030004
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : knowledge extraction from data * artificial neural networks * fuzzy logic * Lukasiewicz logic * disjunctive normal form
    Subject RIV: BA - General Mathematics
    Impact factor: 0.343, year: 2005
    http://dml.cz/handle/10338.dmlcz/135657
    Permanent Link: http://hdl.handle.net/11104/0125685
    FileDownloadSizeCommentaryVersionAccess
    Kybernetika_41-2005-3_3.pdf11.4 MBPublisher’s postprintopen-access
     
     

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