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stať ve sborníku (D)
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Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:
A New Fast Model Of a Fuzzy Associative Memory
Citace
Perfiljeva, I. a Vajgl, M. A New Fast Model Of a Fuzzy Associative Memory.
In:
The 12th International FLINS Conference: Uncertainty Modelling in Knowledge Engineering and Decision Making 2016-08-24 Roubaix.
Singapore: World Scientific, 2016. s. 270-275. ISBN 978-981-3146-96-9.
Subtitle
Publication year:
2016
Obor:
Obecná matematika
Number of pages:
6
Page from:
270
Page to:
275
Form of publication:
Tištená verze
ISBN code:
978-981-3146-96-9
ISSN code:
Proceedings title:
Uncertainty Modelling in Knowledge Engineering and Decision Making
Proceedings:
Mezinárodní
Publisher name:
World Scientific
Place of publishing:
Singapore
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
The 12th International FLINS Conference
Conference venue:
Roubaix
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
Key words in English:
autoregressive fuzzy associative memories; AFAM; fuzzy relation equations
Annotation in original language:
We propose a new theoretical background of autoregressive fuzzy associative memories (AFAM). It stems from the theory of fuzzy relation equations and eigen sets of their solutions. We introduce a couple of related AFAM models that share the same fuzzy relation. For one particular couple, we propose a fast algorithm of data retrieval. We characterize the types of noise that can be removed/reduced by the related models of a couple.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17610/16:A1701IH3
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