Publication detail

Neural Networks Algorithms Analysis in Image Processing Application

ŠKORPIL, V. ŠŤASTNÝ, J.

Original Title

Neural Networks Algorithms Analysis in Image Processing Application

Type

journal article - other

Language

English

Original Abstract

The paper describes the algorithms for construction and learning of the Radial Basis Function (RBF) and the MLP (Multi Layer Perceptron) neural networks. We compared results obtained by a using of learning algorithms LMS (Least Mean Square) and gradient algorithms and results obtained by a using of algorithms APC-III and K-means for hidden layer contruction of RBF neural network and algorithm Back-Propagation (BP) of MLP neural network. The real technological scene for object identification by means of MLP and RBF neural networks was simulated with digitization of two-dimensional objects.

Keywords

Radial Basis Function (RBF), Multi Layer Perceptron (MLP), Neural Network, Least Mean Square (LMS)

Authors

ŠKORPIL, V.; ŠŤASTNÝ, J.

RIV year

2008

Released

30. 11. 2008

Publisher

GESTS

Location

Korea

ISBN

1738-9682

Periodical

International Transactions on Communication and Signal Processing

Year of study

12

Number

11

State

Republic of Korea

Pages from

258

Pages to

267

Pages count

10

BibTex

@article{BUT48416,
  author="Vladislav {Škorpil} and Jiří {Šťastný}",
  title="Neural Networks Algorithms Analysis in Image Processing Application",
  journal="International Transactions on Communication and Signal Processing",
  year="2008",
  volume="12",
  number="11",
  pages="258--267",
  issn="1738-9682"
}