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Extraction of Fuzzy Logic Rules from Data by Means of Artificial Neural Networks
SYS 0405527 LBL 00000nam^^22^^^^^^^^450 005 20240103181900.6 014 $a 000233665200003 $2 WOS 014 $a 25444464640 $2 SCOPUS 101 0-
$a eng $d eng 102 $a CZ 200 1-
$a Extraction of Fuzzy Logic Rules from Data by Means of Artificial Neural Networks 215 $a 18 s. 463 -1
$1 001 cav_un_epca*0297163 $1 011 $a 0023-5954 $1 200 1 $a Kybernetika $v Roč. 41, č. 3 (2005), s. 297-314 $1 210 $c Ústav teorie informace a automatizace AV ČR, v. v. i. 541 $a Extrakce pravidel fuzzy logiky z dat pomocí umělých neuronových sítí $z cze 610 1-
$a knowledge extraction from data 610 1-
$a artificial neural networks 610 1-
$a fuzzy logic 610 1-
$a Lukasiewicz logic 610 1-
$a disjunctive normal form 700 -1
$3 cav_un_auth*0100761 $a Holeňa $b Martin $p UIVT-O $w Department of Machine Learning $4 070 $T Ústav informatiky AV ČR, v. v. i. 856 $u http://dml.cz/handle/10338.dmlcz/135657
Number of the records: 1