Publication detail

Back-Propagation and K-Means Algorithms Comparison

ŠŤASTNÝ, J. ŠKORPIL, V.

Original Title

Back-Propagation and K-Means Algorithms Comparison

Type

conference paper

Language

English

Original Abstract

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.

Key words in English

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

Authors

ŠŤASTNÝ, J.; ŠKORPIL, V.

RIV year

2006

Released

16. 11. 2006

Publisher

The Chinese Institute of Electronics (CIE)

Location

Guilin, China

Pages from

32P1-01

Pages count

4