Image Processing Using Neural Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F01%3APU20956" target="_blank" >RIV/00216305:26210/01:PU20956 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26210/01:PU27413
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Image Processing Using Neural Network
Original language description
This contribution describes the problem of the object classification by using artifical neural network. This is the question of the Back-propagation, Kohonen and ART network algorithms comparison. Back-propagation algorithm is based on minimization of neural network energy, Kohonen network is one of the self-organizing neural networks and characteristic feature of ART network is its ability to switch the variable and stable mode without damaging information learned. The application part includes the tottal evaluation of given algorithms on the bases of time learning and success in classification of given objects of two-dimensional technologic scene. The real technologic scene was simulated with digitization of two-dimensional pictures of real objects.
Czech name
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Czech description
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Project
<a href="/en/project/LP0088" target="_blank" >LP0088: Internet Journal Elektrorevue</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Telecommunications and signal processing, TSP-2001
ISBN
80-214-1962-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
22-27
Publisher name
UTKO FEI VUT, EES
Place of publication
Brno, Czech Republic
Event location
Brno
Event date
Sep 5, 2001
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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