Detail publikace

Neural Networks Algorithms Analysis in Image Processing Application

ŠKORPIL, V. ŠŤASTNÝ, J.

Originální název

Neural Networks Algorithms Analysis in Image Processing Application

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

ŠKORPIL, V.; ŠŤASTNÝ, J.

Rok RIV

2008

Vydáno

30. 11. 2008

Nakladatel

GESTS

Místo

Korea

ISSN

1738-9682

Periodikum

International Transactions on Communication and Signal Processing

Ročník

12

Číslo

11

Stát

Korejská republika

Strany od

258

Strany do

267

Strany počet

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"
}