Optimum SOM Distribution in Lukasiewicz Algebra

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F02%3A00007062" target="_blank" >RIV/60461373:22340/02:00007062 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Optimum SOM Distribution in Lukasiewicz Algebra
Original language 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 logicfunction 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.
Czech name
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Czech description
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Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proc. of the 5th Int. Scientific - Technical Conference on Process Control '02
ISBN
80-7194-452-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
University of Pardubice
Place of publication
Pardubice
Event location
Kouty nad Desnou
Event date
Jun 10, 2002
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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