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ŠŤASTNÝ, J. ŠKORPIL, V.
Originální název
Back-Propagation and Genetic Algorithms for Image Processing
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The contibution describes the problem of the image processing by using artificial neural networks. The Multi Layer Perceptron and Radial Basis neural networks were used. We compared results obtained by a using of different learning algorithms, the classical back-propagation algorithm and the genetic algorithm. The real technological scene for image processing was simulated with digitization of two-dimensional pictures.
Klíčová slova v angličtině
Image Processing, Genetic Algorithm, Back-Propagation Algorithm
Autoři
ŠŤASTNÝ, J.; ŠKORPIL, V.
Rok RIV
2005
Vydáno
3. 11. 2005
Nakladatel
University Politehnica of Bucharest
Místo
Bukurešť, Rumunsko
ISBN
973-27-1254-6
Kniha
The 4th International conference on Advanced Manufacturing Technologies ICAMaT 2005
Strany od
475
Strany do
478
Strany počet
4
BibTex
@inproceedings{BUT18014, author="Jiří {Šťastný} and Vladislav {Škorpil}", title="Back-Propagation and Genetic Algorithms for Image Processing", booktitle="The 4th International conference on Advanced Manufacturing Technologies ICAMaT 2005", year="2005", pages="4", publisher="University Politehnica of Bucharest", address="Bukurešť, Rumunsko", isbn="973-27-1254-6" }