Publication detail

Back-Propagation and Genetic Algorithms for Image Processing

ŠKORPIL, V. ŠŤASTNÝ, J.

Original Title

Back-Propagation and Genetic Algorithms for Image Processing

Type

conference paper

Language

English

Original Abstract

The contibution describes the problem of the image processing by using artificial neural networks. The MLP and RBFN neural networks were used. We compared results obtained by a using of different learning algorithms, the classical back-propagation algorithm (BP) and the genetic algorithm (GA). The real technological scene for image processing was simulated with digitization of two-dimensional pictures

Keywords

Image Processing, Genetic Algorithm, Back-Propagation Algorithm

Authors

ŠKORPIL, V.; ŠŤASTNÝ, J.

RIV year

2005

Released

25. 7. 2005

Location

Bucharest

Pages from

200

Pages to

203

Pages count

4

BibTex

@inproceedings{BUT16322,
  author="Vladislav {Škorpil} and Jiří {Šťastný}",
  title="Back-Propagation and Genetic Algorithms for Image Processing",
  booktitle="ICAMaT2005",
  year="2005",
  pages="4",
  address="Bucharest"
}