Detail publikace

Neural Networks Learning Methods For Image Processing Application

ŠKORPIL, V. ŠŤASTNÝ, J.

Originální název

Neural Networks Learning Methods For Image Processing Application

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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).

Klíčová slova

Neural Networks, Genetic Algorithms, Image Processing, Pattern Recognition

Autoři

ŠKORPIL, V.; ŠŤASTNÝ, J.

Rok RIV

2005

Vydáno

25. 4. 2005

Nakladatel

WSEAS

Místo

Brazílie

ISBN

960-8457-17-3

Kniha

WSEAS International Conference

Strany od

25

Strany do

30

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"
}