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Statements

Subject Item
n2:RIV%2F60461373%3A22340%2F02%3A00007062%21RIV%2F2004%2FMSM%2F223404%2FN
rdf:type
n12:Vysledek skos:Concept
dcterms:description
Optimum SOM distribution is a combinatorial method of self-organization. The input patterns are supposed to be elements of metric space M with given distance measure. Let G be given undirected graph as a model of output metric space with node distance. The optimum SOM is a distribution of input patterns into graph nodes satisfying distance proportionality. There are various approaches to objective function design. The traditional penalty approach related to cluster analysis is compared with fuzzy logic function minimization. The discrete optimization task is solved as an NP-complete problem using combinatorial and stochastic global optimization techniques. Both traditional and fuzzy approaches are compared on illustrative example. The optimum SOM distribution is a general tool for the pattern categorization including patterns of observable states or outputs of technological process. Optimum SOM distribution is a combinatorial method of self-organization. The input patterns are supposed to be elements of metric space M with given distance measure. Let G be given undirected graph as a model of output metric space with node distance. The optimum SOM is a distribution of input patterns into graph nodes satisfying distance proportionality. There are various approaches to objective function design. The traditional penalty approach related to cluster analysis is compared with fuzzy logic function minimization. The discrete optimization task is solved as an NP-complete problem using combinatorial and stochastic global optimization techniques. Both traditional and fuzzy approaches are compared on illustrative example. The optimum SOM distribution is a general tool for the pattern categorization including patterns of observable states or outputs of technological process.
dcterms:title
Optimum SOM Distribution in Lukasiewicz Algebra Optimum SOM Distribution in Lukasiewicz Algebra
skos:prefLabel
Optimum SOM Distribution in Lukasiewicz Algebra Optimum SOM Distribution in Lukasiewicz Algebra
skos:notation
RIV/60461373:22340/02:00007062!RIV/2004/MSM/223404/N
n3:strany
R192b-1;R192b-5
n3:aktivita
n14:Z
n3:aktivity
Z(MSM 223400007)
n3:dodaniDat
n11:2004
n3:domaciTvurceVysledku
n9:3673758 n9:2685337 n9:5968585
n3:druhVysledku
n18:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
657369
n3:idVysledku
RIV/60461373:22340/02:00007062
n3:jazykVysledku
n17:eng
n3:klicovaSlova
self-organizing map (SOM); optimization; batch learning; metric space; graph; fuzzy
n3:klicoveSlovo
n4:fuzzy n4:self-organizing%20map%20%28SOM%29 n4:metric%20space n4:optimization n4:graph n4:batch%20learning
n3:kontrolniKodProRIV
[70ECA8B7EC8D]
n3:mistoKonaniAkce
Kouty nad Desnou
n3:mistoVydani
Pardubice
n3:nazevZdroje
Proc. of the 5th Int. Scientific - Technical Conference on Process Control '02
n3:obor
n15:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
4
n3:pocetUcastnikuAkce
0
n3:pocetZahranicnichUcastnikuAkce
0
n3:rokUplatneniVysledku
n11:2002
n3:tvurceVysledku
Bártová, Darina Kukal, Jaromír Sýkorová, Květa Majerová, Dana
n3:typAkce
n19:EUR
n3:zahajeniAkce
2002-06-10+02:00
n3:zamer
n10:MSM%20223400007
s:numberOfPages
5
n16:hasPublisher
Univerzita Pardubice
n6:isbn
80-7194-452-1
n21:organizacniJednotka
22340