Filter Selection for the Design of Image Matrix
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F00%3A43500010" target="_blank" >RIV/00216305:26220/00:43500010 - 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
Filter Selection for the Design of Image Matrix
Original language description
A real technological scene was simulated by digitizing two-dimensional pictures of real objects. The ART network gave relatively good results. Its application is suitable especialy for the recognition of not very damaged and noisy pictures and in the case when other patterns are added to the learned network. The Kohonen network presented excellent results. The learning went off very quickly and that is why Kohonen network is suitable for applications where the patterns are often changed. The back-propagation algorithm yielded excellent results too. The learning of this network took a longer time than of the Kohonen one but the results of the damaged pattern recognition were better.
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
2000
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CD Proceedings of the International Conference on Signal Processing Aplications&Technology.
ISBN
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ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
CMP Media Inc. USA
Place of publication
Dallas (USA)
Event location
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Event date
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Type of event by nationality
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UT code for WoS article
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