Detail publikačního výsledku

Neural Networks Learning Methods For Image Processing Application

ŠKORPIL, V.; ŠŤASTNÝ, J.

Originální název

Neural Networks Learning Methods For Image Processing Application

Anglický název

Neural Networks Learning Methods For Image Processing Application

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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 the genetic algorithm (GA).

Anglický abstrakt

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 the genetic algorithm (GA).

Klíčová slova

Neural Networks, Genetic Algorithms, Image Processing, Pattern Recognition

Klíčová slova v angličtině

Neural Networks, Genetic Algorithms, Image Processing, Pattern Recognition

Autoři

ŠKORPIL, V.; ŠŤASTNÝ, J.

Vydáno

25.04.2005

Nakladatel

WSEAS

Místo

Brazílie

ISBN

960-8457-17-3

Kniha

WSEAS International Conference

Strany od

25

Strany počet

6

BibTex

@inproceedings{BUT16326,
  author="Vladislav {Škorpil} and Jiří {Šťastný}",
  title="Neural Networks Learning Methods For Image Processing Application",
  booktitle="WSEAS International Conference",
  year="2005",
  pages="6",
  publisher="WSEAS",
  address="Brazílie",
  isbn="960-8457-17-3"
}