Data Retrieval and Noise Reduction by Fuzzy Associative Memories

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701I8A" target="_blank" >RIV/61988987:17610/16:A1701I8A - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Data Retrieval and Noise Reduction by Fuzzy Associative Memories
Original language description
A novel theoretical background of fuzzy associative memories (FAM) is proposed. A framework of formal concept analysis is used for a new working theory of FAM. Two principal activities of FAM are formalized : data retrieval and noise reduction. It is shown that the problem of data retrieval is connected with solvability and eigen sets of a certain system of fuzzy relation equations. The differentiation of FAM models according to their ability to reduce noise is defined. It is shown how the choice of formal context determines a type of noise that can be reduced by the corresponding retrieval mechanism. Finally, we propose a fast algorithm of data retrieval.
Czech name
—
Czech description
—

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)

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

Article name in the collection
Concept Lattices and Their Applications. Proceedings of the Thirteenth International Conference on Concept Lattices and Their Applications
ISBN
978-5-600-01454-1
ISSN
2311-701X
e-ISSN
—
Number of pages
12
Pages from-to
313-324
Publisher name
National Research University Higher School of Economics
Place of publication
Moskva, Rusko
Event location
Moskva, Rusko
Event date
Jul 18, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)