Publication detail

Neural Networks Learning Methods For Image Processing Application

ŠKORPIL, V. ŠŤASTNÝ, J.

Original Title

Neural Networks Learning Methods For Image Processing Application

Type

conference paper

Language

English

Original Abstract

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).

Keywords

Neural Networks, Genetic Algorithms, Image Processing, Pattern Recognition

Authors

ŠKORPIL, V.; ŠŤASTNÝ, J.

RIV year

2005

Released

25. 4. 2005

Publisher

WSEAS

Location

Brazílie

ISBN

960-8457-17-3

Book

WSEAS International Conference

Pages from

25

Pages to

30

Pages count

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"
}