Fuzzy logic analysis optimizations for pattern recognition - Implementation and experimental results
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F17%3AA1801O3P" target="_blank" >RIV/61988987:17310/17:A1801O3P - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1063/1.4992230" target="_blank" >http://dx.doi.org/10.1063/1.4992230</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1063/1.4992230" target="_blank" >10.1063/1.4992230</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy logic analysis optimizations for pattern recognition - Implementation and experimental results
Original language description
The article presents an practical results of optimization of the fuzzy logic analysis method for pattern recognition. The theoretical background of the proposed theory is shown in the former article extending the original fuzzy logic analysis method. This article shows the implementation and experimental verification of the approach.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
AIP Conference Proceedings
ISBN
9780735415386
ISSN
0094-243X
e-ISSN
—
Number of pages
4
Pages from-to
0700081-0700084
Publisher name
American Institute of Physics Inc.
Place of publication
New York
Event location
Rhodes, Greece
Event date
Jan 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000410159800080