Detail publikace

Back-Propagation and K-Means Algorithms Comparison

ŠŤASTNÝ, J. ŠKORPIL, V.

Originální název

Back-Propagation and K-Means Algorithms Comparison

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The paper describes the application of algorithms for object classification by using artificial neural networks. The MLP (Multi Layer Perceptron) and RBF (Radial Basis Function) neural networks were used. We compared results obtained by a using of learning algorithms Back-Propagation (BP) and K-Means. The real technological scene for object classification was simulated with digitization of two-dimensional pictures. The principles and algorithms given below have been used in an application that was developed at Brno University of Technology.

Klíčová slova v angličtině

Image Processing, Back-Propagation Algorithm, K-Means Algorithm

Autoři

ŠŤASTNÝ, J.; ŠKORPIL, V.

Rok RIV

2006

Vydáno

16. 11. 2006

Nakladatel

The Chinese Institute of Electronics (CIE)

Místo

Guilin, China

Strany od

32P1-01

Strany počet

4