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ŠKORPIL, V.; ŠŤASTNÝ, J.
Originální název
Back-Propagation and K-Means Algorithms Comparison
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) and RBF (Radial Basis Function) neural networks were used. We compared results obtained by a using of learning algorithms Back-Propagation (BP) and K-Means. The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an application that was developed at Brno University of Technology.
Anglický abstrakt
Klíčová slova
Image Processing, Back-Propagation Algorithm, K-Means Algorithm
Klíčová slova v angličtině
Autoři
Rok RIV
2010
Vydáno
17.11.2006
Nakladatel
IEEE Press
Místo
Beijing, China
ISBN
0-7803-9736-3
Kniha
2006 8th International Conference on SIGNAL PROCESSING Proceedings
Edice
,2006 8th International Conference on SIGNAL PROCESSING Proceedings,Volume III of IV
Strany od
1871
Strany počet
4
BibTex
@inproceedings{BUT21879, author="Vladislav {Škorpil} and Jiří {Šťastný}", title="Back-Propagation and K-Means Algorithms Comparison", booktitle="2006 8th International Conference on SIGNAL PROCESSING Proceedings", year="2006", series=",2006 8th International Conference on SIGNAL PROCESSING Proceedings,Volume III of IV", number="1", pages="4", publisher="IEEE Press", address="Beijing, China", isbn="0-7803-9736-3" }