A New Fast Model Of a Fuzzy Associative Memory

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701IH3" target="_blank" >RIV/61988987:17610/16:A1701IH3 - 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
A New Fast Model Of a Fuzzy Associative Memory
Original language description
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.
Czech name
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Czech description
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Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Uncertainty Modelling in Knowledge Engineering and Decision Making
ISBN
978-981-3146-96-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
270-275
Publisher name
World Scientific
Place of publication
Singapore
Event location
Roubaix
Event date
Aug 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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