About: Neural Networks for Extraction of Fuzzy Logic Rules with Application to EEG Data

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The extraction of logical rules from data is a key application of artificial neural networks (ANNs) in data mining. However, most of the ANN-based rule extraction methods rely primarily on heuristics, and their underlying theoretical principles are not very deep. That is especially much true for methods extracting fuzzy logic rules, which usually allow to mix different logical connectives in such a way that extracted rules can not be correctly evaluated in any particular fuzzy logic model. This paper shows that mixing of connectives is not needed. A method for fuzzy rules extraction for which the evaluation of the extracted rules in a single model is the basic principle is outlined and illustrated on a case study with EEG data. The extraction of logical rules from data is a key application of artificial neural networks (ANNs) in data mining. However, most of the ANN-based rule extraction methods rely primarily on heuristics, and their underlying theoretical principles are not very deep. That is especially much true for methods extracting fuzzy logic rules, which usually allow to mix different logical connectives in such a way that extracted rules can not be correctly evaluated in any particular fuzzy logic model. This paper shows that mixing of connectives is not needed. A method for fuzzy rules extraction for which the evaluation of the extracted rules in a single model is the basic principle is outlined and illustrated on a case study with EEG data. (en)
Title	Neural Networks for Extraction of Fuzzy Logic Rules with Application to EEG Data Neural Networks for Extraction of Fuzzy Logic Rules with Application to EEG Data (en)
skos:prefLabel	Neural Networks for Extraction of Fuzzy Logic Rules with Application to EEG Data Neural Networks for Extraction of Fuzzy Logic Rules with Application to EEG Data (en)
skos:notation	RIV/67985807:_____/05:00405494!RIV10-MSM-67985807
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(ME 701), Z(AV0Z10300504)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Holeňa, Martin
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	532554
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/05:00405494
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	fuzzy neural networks; extraction of logical rules from data; fuzzy logic (en)
http://linked.open.../riv/klicoveSlovo	fuzzy logic extraction of logical rules from data fuzzy neural networks
http://linked.open...ontrolniKodProRIV	[172AF6DC8990]
http://linked.open...v/mistoKonaniAkce	Coimbra
http://linked.open...i/riv/mistoVydani	Wien
http://linked.open...i/riv/nazevZdroje	Adaptive and Natural Computing Algorithms
http://linked.open...in/vavai/riv/obor	BA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	http://linked.opendata.cz/resource/domain/vavai/projekt/ME%20701
http://linked.open...UplatneniVysledku	2005
http://linked.open...iv/tvurceVysledku	Holeňa, Martin
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2005-03-21 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	3-211-24934-6
is http://linked.open...avai/riv/vysledek of	Neural Networks for Extraction of Fuzzy Logic Rules with Application to EEG Data

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