Neural Networks Learning Methods For Image Processing Application
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F05%3APU52077" target="_blank" >RIV/00216305:26220/05:PU52077 - 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
Neural Networks Learning Methods For Image Processing Application
Original language description
This paper deals of the problem of the image processing by using artificial neural networks. The MLP neural network was used. We compared results obtained by a using of different learning algorithms - the classical back-propagation algorithm (BP) and thegenetic algorithm (GA). The real technological scene for image processing was simulated with digitization of two-dimensional pictures.
Czech name
Učící metody neuronových sítí pro aplikace zpracování obrazu
Czech description
This paper deals of the problem of the image processing by using artificial neural networks. The MLP neural network was used. We compared results obtained by a using of different learning algorithms - the classical back-propagation algorithm (BP) and thegenetic algorithm (GA). The real technological scene for image processing was simulated with digitization of two-dimensional pictures.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F03%2F0560" target="_blank" >GA102/03/0560: New methods of providing and monitoring auality of services in next generation networks</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WSEAS International Conference
ISBN
960-8457-17-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
25-30
Publisher name
WSEAS
Place of publication
Brazílie
Event location
Rio de Janeiro
Event date
Apr 25, 2005
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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