Application of neural networks for classification of AVG signals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F01%3APU20466" target="_blank" >RIV/00216305:26220/01:PU20466 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of neural networks for classification of AVG signals
Original language description
The paper describes the developed algorithm for classification of AVG signals. This algorithm is based on combination of feed-forward neural networks and genetics algorithms. The proper classification is necessary for the diagnostic of ischemic disease of lower limbs.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Radioelektronika 2001 Conference Proceedings
ISBN
80-214-1861-3
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
139-141
Publisher name
Brno University of Technology
Place of publication
Institute of Radio Electronics, Brno University
Event location
Brno
Event date
May 10, 2001
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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