Publication detail

Back-Propagation and Genetic Algorithms for Image Processing

ŠŤASTNÝ, J. ŠKORPIL, V.

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 Multi Layer Perceptron and Radial Basis neural networks were used. We compared results obtained by a using of different learning algorithms, the classical back-propagation algorithm and the genetic algorithm. The real technological scene for image processing was simulated with digitization of two-dimensional pictures.

Key words in English

Image Processing, Genetic Algorithm, Back-Propagation Algorithm

Authors

ŠŤASTNÝ, J.; ŠKORPIL, V.

RIV year

2005

Released

3. 11. 2005

Publisher

University Politehnica of Bucharest

Location

Bukurešť, Rumunsko

ISBN

973-27-1254-6

Book

The 4th International conference on Advanced Manufacturing Technologies ICAMaT 2005

Pages from

475

Pages to

478

Pages count

4

BibTex

@inproceedings{BUT18014,
  author="Jiří {Šťastný} and Vladislav {Škorpil}",
  title="Back-Propagation and Genetic Algorithms for Image Processing",
  booktitle="The 4th International conference on Advanced Manufacturing Technologies ICAMaT 2005",
  year="2005",
  pages="4",
  publisher="University Politehnica of Bucharest",
  address="Bukurešť, Rumunsko",
  isbn="973-27-1254-6"
}