Publication result detail

Back-Propagation and Genetic Algorithms for Image Processing

ŠŤASTNÝ, J.; ŠKORPIL, V.

Original Title

Back-Propagation and Genetic Algorithms for Image Processing

English Title

Back-Propagation and Genetic Algorithms for Image Processing

Type

Paper in proceedings (conference paper)

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.

English 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.

Released

03.11.2005

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 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"
}