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Extraction of Fuzzy Logic Rules from Data by Means of Artificial Neural Networks
- 1.0405527 - 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/11104/0125685File Download Size Commentary Version Access Kybernetika_41-2005-3_3.pdf 1 1.4 MB Publisher’s postprint open-access
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