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Statements

Subject Item
n2:RIV%2F60461373%3A22340%2F02%3A00007063%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 Metric Spaces Optimum SOM Distribution in Metric Spaces
skos:prefLabel
Optimum SOM Distribution in Metric Spaces Optimum SOM Distribution in Metric Spaces
skos:notation
RIV/60461373:22340/02:00007063!RIV/2004/MSM/223404/N
n3:strany
287;291
n3:aktivita
n4:Z
n3:aktivity
Z(MSM 223400007)
n3:dodaniDat
n7:2004
n3:domaciTvurceVysledku
n13:2685337 n13:5968585
n3:druhVysledku
n20:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n11:predkladatel
n3:idSjednocenehoVysledku
657370
n3:idVysledku
RIV/60461373:22340/02:00007063
n3:jazykVysledku
n19:eng
n3:klicovaSlova
self-organizing map (SOM); optimization; batch learning; metric space; graph; fuzzy
n3:klicoveSlovo
n5:graph n5:self-organizing%20map%20%28SOM%29 n5:metric%20space n5:fuzzy n5:optimization n5:batch%20learning
n3:kontrolniKodProRIV
[0A0C0DE574CA]
n3:mistoKonaniAkce
80-214-2135-5
n3:mistoVydani
Brno
n3:nazevZdroje
Proc. of 8th Int. Conference on Soft Computing MENDEL 2002
n3:obor
n6:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
3
n3:pocetUcastnikuAkce
0
n3:pocetZahranicnichUcastnikuAkce
0
n3:rokUplatneniVysledku
n7:2002
n3:tvurceVysledku
Sýkorová, Květa Kukal, Jaromír Majerová, Dana
n3:typAkce
n21:EUR
n3:zahajeniAkce
2002-06-05+02:00
n3:zamer
n10:MSM%20223400007
s:numberOfPages
9
n9:hasPublisher
Vysoké učení technické v Brně
n17:isbn
80-214-2135-5
n15:organizacniJednotka
22340