About: Fuzzy Prediction Based on Lukasiewicz Algebra

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Noisy time series are typical results of observations or technical measurements. Noise reduction and signal structure saving are contradictory but useful aims. Non-linear time series processing is a way for non-gaussian noise suppression. Many valued algebras enriched by square root are able to realize the operators close to the weighted averages. Fuzzy data processing based on Lukasiewicz algebra with square root satisfies the Lipschitz condition and it causes constrained sensitivity of the mapping. The paper presents a fuzzy neural network based on Modus Ponens with fuzzy logic function preprocessing in the hidden layer. All the fuzzy algorithms were realized in the Matlab system and in C++. The fuzzy processing is applied to prediction of sunspot numbers. The systematic approach based on filter selection is combined with weight optimization. Noisy time series are typical results of observations or technical measurements. Noise reduction and signal structure saving are contradictory but useful aims. Non-linear time series processing is a way for non-gaussian noise suppression. Many valued algebras enriched by square root are able to realize the operators close to the weighted averages. Fuzzy data processing based on Lukasiewicz algebra with square root satisfies the Lipschitz condition and it causes constrained sensitivity of the mapping. The paper presents a fuzzy neural network based on Modus Ponens with fuzzy logic function preprocessing in the hidden layer. All the fuzzy algorithms were realized in the Matlab system and in C++. The fuzzy processing is applied to prediction of sunspot numbers. The systematic approach based on filter selection is combined with weight optimization. (en)
Title	Fuzzy Prediction Based on Lukasiewicz Algebra Fuzzy Prediction Based on Lukasiewicz Algebra (en)
skos:prefLabel	Fuzzy Prediction Based on Lukasiewicz Algebra Fuzzy Prediction Based on Lukasiewicz Algebra (en)
skos:notation	RIV/60461373:22340/02:00007039!RIV/2004/MSM/223404/N
http://linked.open.../vavai/riv/strany	45;66
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM 223400007)
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2004
http://linked.open...aciTvurceVysledku	Majerová, Dana Kukal, Jaromír Procházka, Aleš
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola chemicko-technologická v Praze / Fakulta chemicko-inženýrská
http://linked.open...dnocenehoVysledku	646741
http://linked.open...ai/riv/idVysledku	RIV/60461373:22340/02:00007039
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	fuzzy processing; prediction; Lukasiewicz algebra; Modus Ponens; neural network; differential fuzzification; weight optimization (en)
http://linked.open.../riv/klicoveSlovo	weight optimization fuzzy processing neural network prediction Lukasiewicz algebra Modus Ponens differential fuzzification
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[6A4334C66F77]
http://linked.open...i/riv/nazevZdroje	Neural Network World
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...ocetUcastnikuAkce	0 (xsd:int)
http://linked.open...nichUcastnikuAkce	0 (xsd:int)
http://linked.open...UplatneniVysledku	2002
http://linked.open...v/svazekPeriodika	12
http://linked.open...iv/tvurceVysledku	Kukal, Jaromír Procházka, Aleš Majerová, Dana
http://linked.open...n/vavai/riv/zamer	http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20223400007
issn	1210-0552
number of pages	22 (xsd:int)
http://localhost/t...ganizacniJednotka	22340

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