Detail publikace

Back-Propagation and K-Means Algorithms Comparison

ŠKORPIL, V. ŠŤASTNÝ, J.

Originální název

Back-Propagation and K-Means Algorithms Comparison

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

Image Processing, Back-Propagation Algorithm, K-Means Algorithm

Autoři

ŠKORPIL, V.; ŠŤASTNÝ, J.

Rok RIV

2006

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

Číslo edice

1

Strany od

1871

Strany do

1874

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"
}